Reviewerly/exHarmony huggingface dataset:
A Study of Review on Gyeomjae Jotaeeok's Literary Theory

Gyeumjae Jotaeeok is one of the representative literary figures of Soron Faction in the late Joseon Dynasty and enjoyed excellent literary reputation in that era. Despite such reputation, however, there has not been a comprehensive study on the entire literary world of Jotaeeok, and his literary theory has not been discussed at all. This situation is thought to be due to the limitations of the data that he did not leave a writing his literary theory.&#x0D; However, if you look at the articles that evaluated Jotaeeok's literature or the articles that Jotaeeok evaluated other writers and works, you can get a glimpse of his literary theory. The evaluation of Jotaeeok's literature is that his work is based on writer's feelings and contents of writings rather than rhetoric or technical skill, and poetry and prose are natural, both expression and composition are appropriate, and in the creation of poetry, the design and utilization of poetical imagination and poetic word are natural, and proficient. He denied poetry full of technique by pursuing newness. This assessment is similar to the assessment that Jotaeeok made for other writers and works. In his evaluation of literary works and writer, Jotaeeok emphasized the authenticity of the author's emotion revealed in poetry and prose, so he focused on the contents of poetry and prose and the author's emotion contained in poetry and prose rather than formal and rhetorical aspects, and emphasized the learning and training for the creation of poetry and prose, and when the accumulated inside of the author was naturally revealed, the poetry and prose was considered to be excellent. He therefore considered that he did not have to try to use a lot of power, a strange or a poetic word full of technique.&#x0D; However, if Jotaeeok's literary theory is summarized like this, his literary theory does not deviate much from the universal literary theory of the period. If so, Jotaeeok's literary theory is not Jotaeeok's literary theory but rather a universal literary theory of the times. And Jotaeeok accepts such universal literary theory as much as possible and creates and criticizes the work. However, his literary theory is in the same position as the universal literary awareness of the period. But his literary theory and work's literary value are not lost just because he created and evaluated his works according to such literary theory. It is because it has the same perception as the universal perception of an era and it is not a legitimate evaluation to lower the person's perception and the value of the work he created because he created the work that most meets the perception.
Information Security Governance Framework in Public Cloud a Case in Low Resource Economies in Uganda

The study aimed at exploring the critical enablers to the development and usage of information security governance frameworks for cloud computing in Uganda. The study was motivated by the continuous information security governance challenges in the Public Cloud. The theoretical frameworks that underpinned this study included; Contingency management theory, the Risk Management framework, the Technological Organisational and Environmental (TOE) model and the Information Security Governance model. This study adopted a quantitative research approach to obtain data through a survey. Five key factors for information security governance were identified: a) Technological factors: flexibility, scalability, availability, agility, data protection governance, trust of cloud, data source, maintenance, data retention and policy. b) Organisation: size and structure of the organisation, top management support. c) Environmental factors: governance and regulation, marketing, vendor, resource availability, obsoleteness. d) Individual: user resistance, attitude, skills, belief and learnability. e) Risk management and control factors: risk assessment, disaster recovery, access and authorisation control, monitoring, auditing, and process risk control. The study contributes to theory and practice in information security. The developed framework and its accompanying model helped to inform public departments, organisational top management and information security strategies to avoid excessive information risks and potential regulatory compliance failures in public cloud. The study was inclined on subjective information security, which alone may not fully address all information security problems in a public cloud. Therefore, it is recommendable that future research studies on objective security in public cloud
The Necessity and Challenges of Changing the “HANMUN(漢文)” subject for the Post-COVID19

This paper is intended to examine the new normal education triggered by COVID-19 in connection with the direction and future skills of education during the 4th Industrial Revolution, and to discuss the form of HanMun(漢文) subject and textbooks.&#x0D; The education required by the 4th Industrial Revolution has a completely different goal from the education formed after modern times. If pre-modern education was education to foster a few elites, or vocational education based on ones demand, modern education had the goal of “cultivating quality labor” or “normal ability to acquire above-average knowledge and to perform production and consumption at the same time.” On the other hand, the human beings required by the 4th Industrial Revolution are “human beings who can lead to changes in society through individual roles with the capabilities necessary for self-directed recognition, identification, and resolution of various problems in reality.” HanMun(漢文) education is liberal arts education, and it refers to an act that seeks and inherits the educational values and ideals necessary for the society and becomes the driving force for future development along with the identity of society. And society has changed again and is demanding a new form of education, centered on and tailored to learners.&#x0D; To respond to these demands, this paper discussed future HanMun(漢文) subject research from three perspectives: fierce debate on the direction of future human resources education aimed at HanMun(漢文) subject, transition to consumer-centered customized education, and choice and concentration in the composition and content of HanMun(漢文) subject.
A study on the effect of Servant Leadership of maritime police officials on Work Engagement

The purpose of this study is the effect of Servant Leadership on Work Engagement and the subject of this study is maritime police officials. Research on leadership and organizational effects is diverse. However, there are no studies on servant leadership and Work Engagement for maritime police officials. In this study, 131 maritime police officials were targeted. In this study, the independent variable is servant leadership. Sub-variables are six sub-factors: conceptual skills, emotional healing, growth support, ethical behavior, empowerment, and community value creation. the dependent variable is Work Engagement. The sub-variables consisted of three factors: vigor, dedication, absorption. As a result of factor analysis, servant leadership consisted of emotional healing, growth support, ethical behavior, and community value creation, and Work Engagement consisted of vibor, dedication, and absorption. The analysis results are as follows. First, ethical behavior, a sub-variable of servant leadership, influenced vibor, a sub-variable of Work Engagement. Second, growth support, a sub-variable of servant leadership, influenced dedication, a sub-variable of Work Engagement. Third, emotional healing, a sub-variable of servant leadership, influenced absorption.
Influence of Cadet Ceremony on the Korean Military Cadets' IDENTITY

Purpose: The purposes of this study are, first, to investigate the effect of ceremonial events and honor systems conducted by the Korea Army Academy at Yeongcheon (KAAY) on the internalization of the values of cadets and cadet identity. Second, the researcher aims to derive improvement directions from the phenomenological perception and critical perspective of cadets through qualitative research.&#x0D; Method: In order to accomplish the research purposes, a common theme was derived by first examining the literature related to the cadet ceremonies and honor system of the military academies in Korea. In addition, focus group interviews were conducted with 12 cadets attending the KAAY to collect awareness of the internalization of their values and the impact of the honorary system on their identity formation. In addition, the meaning of the collected data was interpreted through content analysis, and the cadets' perception of the importance, influence, and improvement direction of ceremonial events and honor systems were analyzed.&#x0D; Results: As a result of literature review, the military academies are expected to operate similar ceremonies and honor systems, internalize honor as a core value, and form the identity of cadets who practice the honor procedures. The military academies provide various education programs to facilitate cadets to internalize the values, including honor pledge and loyalty ceremony, and those educations have a positive effect on the internalization of values and identity formation of cadets. However, there was an opinion that cadet uniforms and various ceremonies are currently maintaining the past traditions, so some improvements are needed.&#x0D; Conclusion: The ceremonies and honor systems have a positive effect on the internalization of the values of cadets and the development of the cadet identity. However, efforts to secure the uniqueness and tradition of each individual academy, as well as to share the value of human universality are also required.
Deep Generative Models

In this chapter, we are going to introduce and discuss the concept of generative models which is an exciting and rapidly growing area of DL. Specifically, the chapter will introduce Autoencoders (AEs) which are primarily used for dimensionality and noise reduction and are a powerful tool in signal processing, image analysis and NLP. The chapter also discusses Generative Adversarial Networks (GANs) which facilitates the synthetic generation of complex data [1]. This area is seeing rapid development and practical application in image generation.
Image Classification and Object Detection

One of the most common applications for DL is image classification and object detection which aims to replicate one of the most important senses humans have. The influx of both data and compute capabilities have enabled the rapid growth and adoption of computer vision applications. This is one of the most significant technological revolutions which has demonstrated impact across multiple domains including manufacturing, healthcare, security, and autonomous vehicles. These vision systems are becoming increasingly integrated within the fabric of many vision applications currently deployed, such as CCTV, to understand and contextualise information for situational awareness.
Image Anomaly Detection

The study of machine learning has put us in the course of studying various patterns and behavior. It has allowed us to build models that can study closed environments. Predictive power often follows the model training process. It is an important question that we need to ask often when we are training a model. There is another question that needs an answer—how much data is sufficient to help the model understand the distribution such that we can have a good representation? This chapter will work out an example and the concepts regarding these important questions. We are discussing anomaly detection in computer vision.
Conclusion

During the course of this book I presented the most common use cases for the blockchain today in a simple manner. The idea was to keep it simple and get straight to the point. All the examples provided in this book were created to make you advance quickly down the learning path. As a developer, I know that the best way to learn is by coding, so I wanted to share that way of learning with you.
Nethereum

Nethereum is an open source .NET integration library for Ethereum that simplifies smart contract maintenance and interaction with public and private Ethereum nodes. This framework exposes a Web3 class where it is possible to interact with methods of wallets or smart contracts. In the example that you will see in this chapter, you will use the GetBalance method of a wallet to find out its balance.
Supervised Learning

Following on from Chap. 2 we will now begin to explore the supervised learning problem in more detail. We will discuss some of the key supervised learning tasks and describe how they work and fit into a supervised learning pipeline. These tasks provide a scaffold to support the development of supervised learning models. This chapter will include data processing, feature engineering and model selection along with example algorithms. The two strands of supervised learning which includes classification and regression will also be discussed.
Controlling the UR3 Robotic Arm Using a Leap Motion: A Comparative Study

Each day, robotic systems are becoming more familiar and common in different contexts such as factories, hospitals, houses, and restaurants, creating a necessity of seeking for affordable and intuitive interface for effective and engaging communication with humans. Likewise, innovative devices that offer alternative methods of interacting with machines allow us to create new interfaces, improving the learning training and motion application. Thus, this paper compares two interaction modes using leap motion to control a robotic manipulator (UR3) simulator. Users can control the robot through numerical gestures to set up the angle joints (coded mode) or counter/clockwise gestures to increase or decrease the angle values (open mode). We evaluate these modes objectively, capturing from 30 subjects the number of gestures and employed time to reach three specific poses. Likewise, we collected subjective questionnaires to compare the control methods and preferences. Our findings suggest that both methods employ similar gestures, but coded control takes less time with higher variations among ages. Moreover, subjects’ preferences indicate a slight inclination towards the open mode. Finally, it is mandatory to explore different difficulties in the tasks and increase the population to have a more general understanding of the preferences and performance.
Information error-based Pythagorean fuzzy cloud technique for managing road traffic risk

This research proposes a novel procurement process for road traffic analysis by using the information error-based Pythagorean fuzzy cloud (PFC) method. First, a 20-factor assessment index method for road traffic was developed. The notion of PFCs was devised to represent the assessment information of an indication. Concurrently, the PFC-weighted Bonferroni mean (PFCWBM) operator was created to aggregate the evaluation data of multiple indications. Then, a method for evaluating and selecting road traffic based on the PFCWBM operator was developed. Furthermore, an application for demonstrating the efficacy of the suggested method was provided. Finally, the effectiveness of the proposed method was evaluated. Results demonstrate that our algorithm can define and assess complicated data with relatively high susceptibility and environmental adaptation.
Unit Tests for Smart Contracts

Unit tests are used to test code execution scenarios and ensure that they behave as expected. Most important, unit tests allow you to refactor code and make new changes without breaking existing behaviors.
Building an Image Segmentation Model

Images around us come in different textures, patterns, shapes, and sizes. They carry an enormous amount of information which can easily be understood by the human eye and brain, but is still a difficult problem for computers. Image segmentation is a problem set wherein we try to train computers to understand images so that they can separate dissimilar objects and unite similar objects. This can be in the form of similar pixel intensities or similar textures and shapes.
Studying synergy effects when applying multimedia technologies in the educational process

The article analyzes synergy manifestation when using multimedia technologies in the learning process. A mathematical description of the synergy effect at the simultaneous use of audio and visual information channels of data broadcasting is presented.
Image-Based Search and Recommendation System

In order to retain and acquire new customers, especially in the e-commerce arena, customer service needs to be top-notch. There are already thousands of e-commerce platforms and the number will only increase in the future. Platforms with excellent customer experience will survive in long term.
Testing the API

In earlier chapters, you learned why we need API testing and the advantages of doing so. You also learned about web application architecture, the HTTP protocol, and various authentication techniques. This chapter will walk you through the aspects of API testing—the API testing paradigm.
Kinematics and Workspace Analysis of xArm6 Robot for Activities of Daily Living.

Recent statistics reveal that the number of individuals with upper or lower extremity dysfunctions has increased alarmingly. It is estimated that approximately 3.3 million Americans use a wheelchair, with an expected 2 million new wheelchair users every year. To assist powered wheelchair users with limited upper limb function, we have been exploring assistive robots that can be mounted on a wheelchair to perform essential activities of daily living (ADL), such as picking/placing an object from out of reach, feeding, etc. In this research, a 6DoF robot, xArm-6 was used as an assistive robot to provide ADL assistance. Experiments were conducted with xArm6 Robot to investigate the motion trajectories and workspace covering essential ADLs. In kinematic analysis, modified Denavit-Hartenberg parameters are used to identify the Robot's motion path and workspace. On the other hand, the iterative Newton-Euler method was used for dynamic analysis to estimate the joint torques corresponding to each ADL. Experimental results show that xArm-6 can be used for some selected ADLs tasks but not for all essential ADLs.
Análise de mecanismos para consenso distribuído aplicados a Blockchain

The Brazilian Symposium on Information and Computational Systems Security (SBSeg) is the country’s main forum for disseminating research results and relevant activities related to information, data protocols, and computational systems security. In this edition (2019), 13 short-course proposals were submitted, a significant number that demonstrates the relevance and the community interest in current subjects of the area. Four proposals were selected for publication and presentation, an acceptance rate of 30%. This book comprises the four chapters produced by the authors of the accepted short-course proposals. Chapter 1 addresses one of the main challenges for information security today: creating and maintaining a reliable digital identity for each user. With the advent of blockchains, new possibilities for assigning and controlling digital identities have emerged and this chapter presents to readers a theoretical discussion and practical activities on creation and managing decentralized identifiers, as well as authentication and revocation of credentials. Chapter 2 shows how the security area can benefit from the enormous advances made recently in data science and machine learning fields. The goal is to be able to discover security-relevant information that may be hidden in a large amount of non-suspicious data produced by security tools and operating systems. Key concepts in the field will be discussed and several practical examples will be demonstrated using free tools. Chapter 3 discusses blockchains in depth, as this tool is becoming increasingly used in several areas, including security. Among the various technologies adopted in blockchains, this chapter emphasizes the consensus mechanism, one of the main actors in the performance and security of the chain. The consensus mechanisms most used today require a great deal of computational power to operate satisfactorily and provide an acceptable level of security. In this context, the main types of blockchain and their consensus mechanisms will be presented and discussed, as well as experiments that illustrate in practice different aspects of security in current implementations. Concluding this book, Chapter 4 focuses on another face of security that has drawn a lot of attention from society: malicious applications that, after infecting a device, seek to hide in a variety of ways in order to escape detection by security mechanisms and forensic techniques, even when they are running. This chapter shows the application of reverse engineering techniques for analyzing malicious applications in the Linux environment, which are exemplified both in kernel and user modes based on their dynamic execution trace and in code debugging techniques.
ENGINEERING-ORIENTED BENCHMARKING AND APPLICATION-BASED MAGNETIC MATERIAL MODELING IN TRANSFORMER RESEARCH

The paper highlights the engineering-oriented benchmarking and application-based magnetic material modeling, as two important events in transformer research, reviews the newly extended progress in TEAM (Testing Electromagnetic Analysis Methods) Problem 21 Family, and presents the related benchmarking results.
A hybrid self-adapting multi-swarm algorithm based on PSO and CMA-ES for continuous dynamic optimization

In this study a new multi-swarm hybrid algorithm is designed for dynamic optimization problems. It is based on two well-known stochastic approaches such as the Particle Swarm Optimization (PSO) and the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) applied with additional modifications to make them able to find better solutions before the environmental changes. Additionally, an adaptation strategy is proposed to regulate the number of active swarms, so that new swarms would be brought into existence or redundant swarms would be removed to maintain the multi-swarm diversity. The Generalized Moving Peak Benchmark is used to evaluate the performance of the proposed algorithm and to compare it to the alternative approaches. Obtained results demonstrated usefulness of the new algorithm as it outperformed other alternative approaches.
HIGHER EDUCATION AS A VALUE AND ITS IMPACT ON THE WELL-BEING OF SOCIETY

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 3260-3267ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0800Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
A SOFTWARE PLATFORM FOR DIGITAL ASSESSMENT OF PEDAGOGICAL SPECIALISTS’ QUALIFICATION PROGRESS IN BULGARIA

A SOFTWARE PLATFORM FOR DIGITAL ASSESSMENT OF PEDAGOGICAL SPECIALISTS’ QUALIFICATION PROGRESS IN BULGARIA