Reviewerly/exHarmony huggingface dataset:
연극 《조씨고아, 복수의 씨앗》에 나타난 고선웅의 연출기법

This study analyzes the principles and characteristics of directing by Go, Seon-Woong through 《The Orphan of Zhao Family, the Seed of Revenge》, produced by The National Theater Company of Korea, performed at Myeongdong Theater, and then grabbed the attention from the literary critics and public. Even though he joined the ranks of the representative play directors of Korea after the contemporary artistry and popularity were all recognized, it is almost rare to find studies on him. It might be because the spectrum of his directing is very wide and various as a changeable present-progressive director. Nevertheless, his diverse works show a common tendency of directing. Chapter2 comparatively analyzed 《The Orphan of Zhao Family》 by Ji, Jun-Xiang and 《The Orphan of Zhao Family, the Seed of Revenge」》 dramatized by Go, Seon-Woong. Even though Go, Seon-Woong used to be an author, he argues that the text should be newly changed into a performance script suitable for the director''s concept and the performance production environment. On top of respecting the essential value of the original, he aims for the dramatization applying the contemporariness to the original. In stead of staying in the flat dramatization simply modified to strengthen the dramatic effect, he attempted the productive and strategic dramatization considering the audience''s participation through dramatical grammar and active segment for realizing his own directing concept. In the results, it was changed into a performance script, filled with his characteristic humor and satire. This study examines Go, Seon-Woong''s directing principles and characteristics based on the results of comparing the original and the dramatized. Especially, 《The Orphan of Zhao Family, the Seed of Revenge》 has a value of research in the aspect of overcoming the temporal / cultural differences of a Chinese classical tragedy, 《The Orphan of Zhao Family》written in the 12th century, and also　acquiring the contemporariness. Chapter3 researched the playfulness shown in 《The Orphan of Zhao Family, the Seed of Revenge》. Through papers or interviews, he already argued numerous times that ''playfulness'' would be the inherent characteristic of play, differentiated from other media. And he believed that the true meaning of audience could be established not as objects but as subjects through play. In stead of a part of scenes for creating the momentary playfulness, the play penetrated the whole work with the wings of satire and humor. In the results, diverse play concepts such as play on words, play using objets, personification of animals, and mask play inspire the vitality in scenes. Especially, what should be emphasized is the combination of play as a paradoxical strategy to strengthen the tragedy. The comic relief is to intentionally put comic scenes before or after a tragic scene to strengthen the tragedy of the tragic scene.
Design and Research on the Management of the Electricity System of WebGIS

Power industry is the pillar industry of national economy. GIS has become an indispensable part of power information construction with its unique spatial analysis ability and visual expression ability. The construction goal of power GIS is to improve the visual management level of power equipment, enhance the real-time supervision ability of equipment and lines, realize the integration of the whole network information, and provide decision support for power production and operation. All kinds of traditional GIS applications are based on the data structure of point, line and surface spatial relationship analysis. The GIS services and web applications provided by traditional GIS cannot meet the needs of power professional applications. Based on the study of traditional GIS, a new power GIS platform is designed and developed. This paper proposes a quad tree data index solution based on tile element association, which can reduce the depth of spatial index search tree and significantly accelerate the speed of element retrieval; Research the real-time data push technology and the integrated display technology of data and graph, realize the real-time on-line monitoring of equipment status based on the theme, improve the shortcomings of traditional real-time system in server query pressure, real-time performance can not be guaranteed; research the best i-path algorithm model for emergency repair of faulty equipment, A parallel search algorithm based on region partition is proposed, which has the advantages of simple preprocessing, high concurrency and fast convergence.
Tracing Effects of Covid-19 Over Small and Medium Enterprises

In this paper, we describe an ongoing project to assess the liquidity risk of small and medium enterprises (SMEs) in a network. In doing so we try to mimic the tracing applications that have been done to Covid-19. We built a simple artefact under the shape of a method called LUC (Liquidity for Unstructured Collaborations) to (1) collect data that has been encrypted by using multiple keys, (2) store the data in a shared ledger and (3) extract the required information concerning the credit risk of each user while respecting the conditions for the zero-knowledge proof. We see this solution as well-adapted for firms performing unstructured collaboration and we see our service as complementary concerning a trusted company, in the same way, the Covid-19 tracing application collects weak signals and then send patients to doctors for official testing.This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
An Analysis of Students’ English Speaking Anxiety in English Class at the Second Semester Students of Islamic Education Department Students of IAIN Salatiga in the Academic Year 2019/2020

Ristanti, Lilis. (2020): “An Analysis of Students’ English Speaking Anxiety in English Class at the Second Semester Students of Islamic Education Department Students of IAIN Salatiga in the Academic Year 2019/2020”. A Graduating Paper. English Education Department. Teacher Training and Education Faculty. State Institute for Islamic Studies of Salatiga. Counsellor: Nur Muthmainnah, M.Pd. The purposes of this research are to find out the levels of students’ English speaking anxiety in English class and the factors of students’ English speaking anxiety in English class. The type of the research was mixed-method research. The sample of the research were 30 second semester students of PAI F. The techniques of collecting data applied by the writer were questionnaire (closed questionnaire), interview (open-ended question) and documentation. The data which had been collected were analyzed by using the theory from Horwitz to find out the level of students’ speaking anxiety and Kota Ohata’s theory to find out the factors of speaking anxiety in English class.The finding showed that there are 18 (60%) students who have mildly anxious level, 8 (27%) students who have relaxed level of speaking anxiety in English class, 2 (7%) students who have very relaxed level when they face speaking, 1 (3%) student who have very anxious level and there is 1 (3%) student who have anxious level of speaking in English class. Further, the writer find there are four factors that cause speaking anxiety in English class. First, learner beliefs about language learning, there are 8 students who say that their speaking anxiety in English class is due to their nervousness and fear of making mistake. Second, personal and interpersonal anxiety, there are 15 students who feel anxiety because of limited vocabulary and bad grammar. Third, instructor beliefs about language tecahing, there are 2 students who feel anxious bacause they are nervous with the spoken question given by the lecturer. The last, language testing, there are 5 students who have anxious because they feel inferior when speak English in the class.Keywords: English Speaking, Students’ Speaking Anxiety, English Class
Entropy-Based Filter Selection in CNNs Applied to Text Classification

Filter selection in convolutional neural networks aims at finding the most important filters in a convolutional layer, with the goal of reducing computational costs and needed storage, as well as understanding the networks’ inner workings. In this paper we propose an entropy-based filter selection method that ranks filters based on the mutual information between their activations and the output classes using validation data. Our proposed method outperforms using filters’ absolute weights sum by a large margin, allowing to regain better performance with fewer filters.
Implementasi 3D Augmented Reality dengan Peta Gua Jomblang

Jomblang Cave is a special interest tourism destination for tourists when traveling to Yogyakarta. The amazing phenomenon that exists in the cave and its perguaan system always invites curiosity from researchers from various disciplines. Therefore, a cave map is needed to make it easier for researchers to see the situation in the kars region. Representing the Aisle situation in the kars region by changing 2D maps that have been made into AR-based 3D which can be seen in realtime, with the existence of AR-based 3D maps can increase understanding in reading cave maps which can be used to update previously encountered in 2D cave map readings. This study uses the Sommerville version of the Waterfall method, the 3D Cave Map was created using the sketchup and autocad applications, while in making the application using Unity 3D. Augmented Reality Cave Map application has been successfully created and has been successfully done as expected. Application Testing can be installed on an android device with a minimum specification of OS 5.0 Lollipop. This application has fulfilled the criteria of each question submitted by 77.92%. From the data before, it can be concluded that activist is agree the application helped to see the situation in Jomblang Cave because this application is simplify and provides benefits for speleologists.
Speech Synthesis based on Speaker Impression with Hierarchical Discriminator GAN

Recently, speech synthesis has been spotlighted as a key technology for broadcasting original movie with character on YouTube. To make a natural speech in the methods based on GAN(Generative Adversarial Network), the following unsolved problems are remained: impression of synthesized speech such as warm, cool, etc., and long-term optimization of speech synthesis. In the former problem, since the conventional methods have focused on natural intonation of speech, they have not discussed the impression sufficiently. In this research, to deal with the impression, we proposed a new GAN based speech synthesis method using impression vector digitized the speaker impression. On the other hand, for the latter problem, since conventional methods optimize the relationship among frames insufficiently, the synthesized speech is still not natural. To solve this problem, inspired by an image synthesis technology such as HDGAN, we proposed a new GAN based network structure. The characteristic point is hierarchically nested discriminators at intermediate layers of the generator. In experiments with 15 speeches synthesized by the proposed method and 14 impression items, we estimated impression recognition accuracy by 11 listeners as subjective evaluation. From the experimental results, we have achieved 40.61% of subjective accuracy.
越劇 ≪春香傳≫에 나타난 春香 형상의 변모 ― 唱劇 ≪春香傳≫과 비교를 중심으로

The topic in this study is about the character of Chunhyang in the Chinese Yue opera Chunxiangzhuan(1954). In order to approach the subject, need to understand both various versions of Chunhyangjeon and the original work that influenced the Yue opera Chunxiangzhuan. Yue opera Chunxiangzhuan is an remake of the script of the North’s National Classical Arts Theater. At a similar time, Cho Un(1900~?) and Park Taewon(1910~1986) arranged the Chunhyangjeon in Changgeuk. In North Korea, Changgeuk Chunhyangjeon was performed in December 1954 with a major revision by Jo Un and Park Taewon. The Yue Oprea of Chunxiangzhuan is not an translation of Changgeuk Chunhyangjeon. However, the timing of the production is close, the composition and title of the act and scene is almost identical, and considerable similarities can be found in contents and stage direction. The purpose of this study is to examine the similarities and differences between the two works, focusing on the character of the Chunhyang, and to identify the causes of the two works.
Anti-perturbation of Online Social Networks by Graph Label Transition.

Numerous popular online social networks (OSN) would classify users into different categories and recommend users to each other with similar interests. A small number of users, so-called perturbators, may perform some types of behaviors, which significantly disturb such an OSN classifier. Manual annotation by OSN administrators is one kind of potential solutions. However, the manual annotation unavoidably brings into noise. Besides, such perturbators are not Sybil users, and therefore their accounts cannot be frozen. To improve the robustness of such an OSN classifier, we generalize this issue as the defense of Graph Convolutional Networks (GCNs) on the node classification task. Most existing defenses on this task can be divided into the adversarial-based method and the detection-based method. The adversarial-based method improves the robustness of GCNs by training with adversarial samples. However, in our case, the perturbators are hard to be distinguished by OSN administrators and thus we cannot use adversarial samples in the training phase. By contrast, the detection-based method aims at detecting the attacker nodes or edges and alleviates the negative impact by removing them. In our scenario, nevertheless, the perturbators are not the attacker and thus cannot be eliminated. Both methods could not solve the aforementioned problems. To address these issues, we propose a novel graph label transition model, named GraphLT, to improve the robustness of the OSN classifier by transiting the node latent representation based on dynamic conditional label transition. Extensive experiments demonstrate that GraphLT can not only considerably enhance the performance of the node classifier in a clean environment but also successfully remedy the classifier with superior performance over competing methods on seven benchmark datasets after graph perturbation.
중급 한국어 학습자의 기능어휘 사용 양상 연구

This study examines the use of functional words of intermediate-level Korean language learners by analyzing both types and frequency of functional words used in their oral tests. Findings are as follows. First, intermediate-level Korean language learners preferred to use specific functional words, and the terms acquired in the second-level Korean language course were most frequently used in their oral tests. Second, students in the third-level Korean language course also tried to actively use new functional words acquired in their current course while reinforcing the use of functional words learned in the second-level course. On the contrary, students in the fourth-level course were less active in the use of functional words compared to those in the third-level course. When generating sentences, students in the fourth-level course tended to use specific, preferred functional words, especially those learned in the second-level course, rather than attempting to use words recently acquired in their current course. Third, the comparison of speaking proficiency between students in the third-level course and the fourth-level course revealed that the two groups did not have a significant difference in speaking proficiency in terms of functional word usage. (Korea University)
Blockchain Technology Improves Supply Chain: A Literature Review

Blockchain technology has the characteristics and functions of distribution, information encryption, information irreversibility, intelligent contract, etc. Through improved traceability and traceability, as well as automatic data acquisition and other ways, blockchain helps to reduce the complexity of the supply chain, improve the visibility of the supply chain. Through literature review, it is found that the application of blockchain technology in supply chain mainly includes: improving the transparency of supply chain, to build trust between upstream and downstream; reduce information cost, help to improve the efficiency of supply chain information transmission; help to realize supply chain traceability and tracking function, especially for the food supply chain. Besides, the research on the application of blockchain in the supply chain is analyzed from the aspects of technology, policy, and organization, and it is believed that the technical bottleneck needs to be overcome, other intelligent technologies need to be integrated, and the integration platform of industry-university-research should be constructed.
교육과정의 사회적 전망과 해석으로서의 문식 환경 이해 -국어과 교육과정의 소통 방식 구현 및 매체 포섭 논리에 대한 고찰-

The purpose of this study is to explore the problems caused by changes in the literacy environment in the Korean language curriculum and to propose countermeasures. Focusing on the fact that the literacy environment often changes centering around the development of media technology, we tried to examine the direction in which the media is being embraced in the Korean language curriculum and the mode of communication that is associated with it. As a result, we revealed that the current literacy environment needs to attend to a model of chain of communications and macroscopic communication contexts and that the future literacy environment should seek alternative possibilities for communication methods. Furthermore, it was proposed that an educational method that regards the literacy environment as an object of interpretation could be useful for learners. This study is meaningful in that it emphasizes that the learners can become the main agent that constitutes a literacy environment and a mode of communication in the future.
A Comparative Analysis of the Practical Teaching Effect of Online Courses

On the basis of full investigation, this paper compares the traditional teaching method and online learning method from many aspects and angles, discusses the differences and advantages and disadvantages between them, in order to open up a new field of teaching, enrich teaching theory, and provide theoretical enlightenment and empirical data for teaching construction.
Star-Product Formulation of Quantum Mechanics

Star-product, $$(f*g)(q,p)$$ of two functions f(q, p) and g(q, p) on the phase space is a non-commutative product corresponding to the Hilbert space product $$\hat{f}\hat{g}$$ of operators $$\hat{f}$$ and $$\hat{g}$$ . The quantum theory can be developed in analogy with the classical mechanics on the phase space, not with a Poisson bracket, but with a Moyal bracket $$(f*g-g*f)/i\hbar $$ . This formulation is also called the deformation theory of quantization.
Arbetsgivarens möjlighet att avsluta en anställning mot bakgrund av arbetstagarens beteende på sociala medier

The aim of this thesis is to examine an employer’s ability to end an employment as a result of an employee’s reprehensible expression or behaviour on social media. In order to answer the purpose, it is studied how extensive the employee’s duty of loyalty arising from the employment contract is. Also, the protection the employee possesses as a result of the constitutional freedom of speech and the Employment Protection Act (Lag om anstallningsskydd, LAS) is examined. The essay is written in accordance with the conventional legal method. Legislative history, court precedents and doctrine are useful in order to answer the questions, as the legislation in the area provides limited guidance. Particularly prominent is the amount of legal cases that are studied, due to the solid plenitude of precedents regarding both the duty of loyalty and termination. To what extent the employee has an obligation to act loyal and prioritize the employer’s interests is not entirely clear. The extent is, according to courts precedents, impacted by, for instance, the employee’s position in the company, the nature of the tasks and in which industry the employee is operating. Although the outset is that the employee is free in his lifestyle, the duty of loyalty generally obligates the employee even in his leisure time not to act in a way that is liable to damage the employer’s confidence. Opposite the duty of loyalty stands the constitutionally protected freedom of speech which accrue to the public employee. The European Court of Justice has stated in precedents that the freedom of speech also should accrue to employees in the private sector, but the difference in the Swedish constitution nonetheless appear to lead to varying degrees of freedom of speech for private and public employees. The employee is also secured through the employment protection provided by LAS. According to LAS, a termination is only acceptable if it is factually founded. The assessment of factual basis is made in several stages and is multifaceted. A weighing of interests is made between on the one hand, the employees’ interest in retaining the job, and on the other, the employer’s interest in terminating the employment. Based on the court precedents of the Swedish Labour Court, there appears to be a limited opportunity for the employer to separate the employee from employment as a result of his behaviour or expressions on social media.
The Influence of Negative Emotion as Affective State on Conceptual Models Comprehension

Comprehension of procedural models presents an essential skill for IS professionals. Although the literature on factors that influence model comprehension is extensive, it is surprising that so far, empirical research about the impact that affective states on model understanding is mainly missing. The purpose of this study is to determine if an affective state of model viewers can have an impact on the understanding of conceptual models. To this end, we develop hypotheses on the effects of emotions, based on Attentional Control Theory and Affective Events Theory. In order to test our hypotheses, we plan to carry out a controlled experiment.
Anomaly Detection for Time Series Based on the Neural Networks Optimized by the Improved PSO Algorithm

Anomaly detection has been a popular research area for a long time due to its ubiquitous nature. Deep neural networks such as Long short-term memory (LSTM) and Convolutional Neural Networks (CNN) have been applied successfully to time series prediction, however, is not commonly used in time series anomaly detection and the performance of these algorithms depends heavily on their hyperparameter values. It is important to find an efficient method to get the optimal values. In this work, we combine LSTM with CNN, and propose a new framework (IPSO-CLSTM) to automatically optimize hyperparameters for time series anomaly detection tasks using improved particle swarm optimization (IPSO), which is capable of fast convergence when compared with others evolutionary approaches. Our experimental results show that IPSO-CLSTM can automatically find good hyperparameter values and achieve quality performance comparable to the state-of-the-art designs.