Reviewerly/exHarmony huggingface dataset:
An Analysis of non-subject curricula of Korean, Chinese and Japanese national primary and secondary school curricula

Purpose: The purpose of this study was to draw implications for Korea's curriculum revision direction by comparing the characteristics and trends of the non-subject curriculum areas in Korea, China, and Japan. Methods: To this end, the name, goal, time allocation, sub-areas, document system and contents of these areas were reviewed and compared in the national elementary and secondary school curriculum revised in 2015, 2017, and 2018 respectively, in Korea, China and Japan. Results: As a non-subject curriculum, Korea has Creative Experiential Activities, China has Comprehensive Practical Activities, and Japan has the Period for Integrated Studies, Special Activities, Moral activities and Foreign language activities. Goals of non-subject curriculum in Korea are, group activities, a sense of community and creative life attitudes, in China it is, value recognition, responsibility, problem solving, and creativity realization, and in Japan, it is morals, foreign language subject goals, and integrated cross-sectional inquiry. In sub-domains, Korea has autonomous activities, club activities, volunteer activities, and career activities. China has inquiry activities, social service activities, design and production activities, and career and other activities. In Japan, moral activities, foreign language activities, class activity, student council activity, club activity, and school event are included. Conclusion: As a result of the comparison of the three countries, a transformation into a generative curriculum rather than non subjecrt or extra-curricular activities, it is suggested and it is necessary to prepare for the possibility of expanding the non-subject curriculum as a preparation for the future society.
An Ethnographic Paper on the Settlement Process of Innovative Culture at Private Innovation Schools in the Early Period: Characteristics of Ambivalence

Purpose: The purpose of this research was to examine characteristics of culture of school innovation in the early stages at private middle schools, appointed as innovation school, and to analyze how they have developed over time passes. Methods: For this purpose, Middle School A was selected among all appointed private innovation school in 2021 and a qualitative case study was performed with an analytic method for an ethnographic case study. Results: The characteristics of the settlement process of innovative culture in the early stage at Middle School A, can be analyzed in chronological order as follows; “thrill and anticipation vs. distrust and concern” was the main characteristic in the preparational stage of the innovation school, “changes in recognition of members thereof vs. acceptance of outside information” represents the characteristic in the stage of propelling the early innovation school, “institutionalization of democratic decision making vs. an incomplete democracy” was the characteristic in an operational stage of the early innovation school, and “acceptance of change vs. willful avoidance” represents the characteristic in changes that occurred one year after the appointment of this innovation school. A similarity of characteristics in the settlement process of the culture of school innovation by faculties of such a private school was discovered, and the phenomenon of ambivalence was observed,where positive and negative values of this culture coexisted in such an environment. This data was then analyzed by extending the range of the research. Conclusion: Cooperative contemplation and efforts are required, along with administrative support from the government, so that those direct-opposite values, shared by the school faculties simultaneously, may be shifted into a positive direction as time passes in the settlement process of the innovative culture at a private innovation school in the early stages.
Roles and Tasks of Korean Classical Literature in Metaverse Era

After the COVID-19 pandemic, the ‘metaverse’ has emerged as an important topic in various fields of our society. Translated into ‘transcendent world’ or ‘virtual world’ in Korean, this term reproduces various activities of people similar to reality in a virtual space that seems to have copied the real world. In this context, discussions on metaverse utilization are already actively underway in various fields. In this paper, the role and tasks of Korean classical literature in the metaverse world have been discussed. On the contrary, it is also a discussion about how to use the metaverse in Korean classical literature. To this end, this paper first discussed the changes in the learning environment and the problem of learning subjects that the digital generation faced. Unlike the past, the digital generation has positioned itself as a ‘learning subject’ rather than a ‘educational object’, and has the characteristic of becoming a ‘content producer’ rather than a ‘content consumer’. Next, based on these characteristics, the role and tasks of Korean classical literature in the metaverse era were examined. First, on the premise of accurately interpreting and understanding individual works of classical literature, the reasons for moving from the sharing of universal emotions to personal acceptance were discussed. Next, considering the characteristics that variations and processing are easy in the metaverse world, the possibility of using classical literature as a learning material was examined. The concept of the metaverse is not yet familiar to everyone. In particular, it is an even more unfamiliar concept to classical literature majors. However, it is necessary to make efforts to enhance the modern value and utility of classical literature by using a platform familiar to the digital generation.
Automatic Identification of Cyber Predators Using Text Analytics and Machine Learning

Supplying safe surroundings for women and children in cyberspace, i.e., online communal groups, is considered an essential aspect of communal welfare. Due to the frequency of online exchanges, getting rid of juvenile exploitation in cyberspace has become necessary. A productive and extendable data mining technique is essential to solve this type of crime. The issue can be portrayed as textual pre-processing in data mining and a twofold tier architecture will assign the work based on work criteria measures. That measure is represented by the term scholarship. Exchange logs are instructive digital vestiges available on social media platforms (SMPs) that can be used to discover and identify prejudicial gesture against the cybercrimes targeting children. They serve as an essential tool to protect children from being abused by cyber predators. The proposed method employs automatic manual analytics implemented by machine learning (ML) to enable spontaneous identification of damaging text in conversation logs. Machine learning has already been successfully applied in the area of manual analysis to discover cyber sexual predaceous conversations. Notwithstanding, no literature has shown how ML can contribute to a digital forensic examination. So, the benefit of our paper is that it works out the tasks in a digital forensic examination 42that can be planned so as to obtain useable ML results when delving into online predators.
Digital Forensics Identity to Improve Transparency in Block Chain Technology Using Artificial Intelligence

Due to the pandemic situation almost 90% of people are depending on digital technologies to improve their skills, business, education, etc. The usage of digital identities in work spaces, personal lives and other professional related activities has given rise to identity management and access control to manage and secure our identity information. With the help of blockchain-based identity management solutions users can take control of their own identity. The large amount of data stored in the public network leads to data leakages. Due to lack of confidentiality, slow and speed scalability especially when we store large amounts of data cannot precede in a single block which causes degradation of data. Even though the system performance can be analyzed with accuracy and integrity still there is a need to refine identity management in blockchain technology in digital forensic as it is built on a platform using protocols and hashing functions like private/public keys where the owner's data is hidden. Artificial intelligence (AI) usage has risen greatly in every 168field, and with the help of AI and blockchain the identity management in digital forensic can be improved to eliminate duplication of work to increase transparency to improve speed of service. In this chapter we discuss possible identity management techniques like protocols and algorithms to enhance the possible solutions in digital forensics.
The Future of Artificial Intelligence in Digital Forensics: A Revolutionary Approach

Digital forensics (DF) is an area that is turning out to be progressively significant in collecting a lot of computationally large and complex information and frequently requires intelligent analysis throughout the globe. DF presents a method for carefully utilizing scientific information to reveal and understand electronic evidence. Artificial intelligence (AI) techniques address challenges in digital forensics and give a method for handling computationally enormous or complex issues in a reasonable period. This chapter provides an overview of some of the AI principles and procedures. It features everyday difficulties, including the accessibility of data sets in a few regions and explicit trouble in clarifying the outcomes when specific strategies are utilized. This chapter suggests that there is indeed a requirement to improve the utilization of the AI principles accessible and also discusses the strengths and constraints of currently used investigative technologies. This chapter also suggests the difficulties in delivering models where limited training information is induced from the models. Therefore, in this chapter, we have proposed a taxonomical framework with graphs and results to battle the current and analyze the future difficulties of DF.
Digital Forensics Meets AI: A Game-changer for the 4th Industrial Revolution

Digital forensics is defined as the actual process of recognizing, mining, documenting, and safeguarding proofs, testimonials or evidence of a digital nature, which are admissible in a court of law, and play a massive role in maintaining the rule of law. The present IT (information technology) and AI (artificial intelligence) have made digital forensics a part of mainstream business, whose popularity is growing with each passing day. The growing relevance of digital forensics calls for a sound understanding of this concept. Also, the evolving nature of AI calls for a special mention, understanding of the role that AI plays in the domain of digital forensics and how the latest AI trends are impacting on digital forensics. This chapter will use all this pertinent information to reach the goal post of providing a sound conceptual understanding of digital forensics and AI allied techniques and trends. The journey towards that goal post will be an insightful and enriching one.
Enhancing ATM Security in the Forensic Domain Using Artificial Intelligence

Almost every day, we hear news related to various frauds and scams relating to ATMs. ATMs came as a replacement for the traditional banking system. However, the lack of a proper security system has opened up new threats. Banks, however, seeing this increase in fraud related to ATM transactions, came up with one-time-password based transactions. Although this may help prevent unauthorized transactions to some extent, there is still scope for improvement in avoiding false transactions. This chapter focuses on securing transactions using facial recognition. Facial recognition is one of the most secure methods for security as it is fast and reliable. According to our experiment, we found that this can help enhance security by many times. The scope of error is very minimal and is accurate most of the time. Our experimental outcome showed accuracy of up to 95% with various angles of faces tested. We tried to utilize unique features provided by facial recognition at ATMs. When a user swipes their card, they undergo a facial scan. After scanning, the face undergoes processing through OpenCV, free for use software under the open-source BSD license, to process the scanned face. After processing, the request is made to a database to fetch the cardholder details (details like the card owner's face) and then matched with the scanned face. If the scanned face matches, the user can complete their transaction, 82thus minimizing fraud and scams. Facial recognition technology helps the machine identify every user uniquely, thus making a face and a card number a “key” in the process. This completely eliminates the chances of fraud due to theft and duplication of ATM cards. This chapter also focuses on linking a single card with multiple users if they belong to the same family. All the family members can use the same ATM card after adding their facial features to the database.
Research on calculation method of asphalt pavement compaction quality index based on laser point cloud

In the process of asphalt pavement construction, the degree of compaction is one of the key indicators of quality control. This research proposes a fast calculation method using 3D laser scanning technology. Aiming at the shortcomings of the existing methods in evaluating the uniformity of asphalt pavement compaction, a three-dimensional laser is used to obtain road point cloud data, and then a point cloud grid is established along the road direction, and the compaction height and volume of the road in each grid are first calculated. The degree of compaction is obtained by weight. To evaluate the compaction degree of asphalt mixture in real-time, continuously and quantitatively, a section of road in a certain city in China was verified as an example. The results showed that the method reflects the compaction quality of asphalt pavement, with a high degree of automation, high precision, and high speed. It is possible to quickly locate areas or belts with uneven compaction based on the evaluation results.
Design and implementation of an online calculation program for geotechnical engineering index parameters

From the perspective of the effective combination of engineering application and micro research, this paper designs and develops a set of index parameter calculation programs suitable for geotechnical engineering and related professional fields through comprehensive application of Oracle integrated data management system, PYTHON data analysis program, VISUAL STUDIO, and VB programming program. In order to meet the comprehensive demand of macro and micro application of geotechnical engineering index parameters in engineering application, 22 standard programs of geotechnical engineering index parameters are nested in 9 modules. The program can not only solve the uncertainty of parameters faced by technicians in current engineering practice, but also effectively assist the operation and management of geotechnical engineering index parameter statistical analysis system, disaster risk prevention and control platform.
Deformation monitoring method of the ancient timber arch lounge bridges based on Internet of Things

The deformation monitoring index is an important index for evaluating and monitoring the structural safety of the ancient timber arch lounge bridges. To protect the ancient timber arch lounge bridges, a deformation monitoring method of the ancient timber arch lounge bridges based on the Internet of Things is proposed. Firstly, the deformation characteristics of the woven arch of the timber arch lounge bridges were analyzed through the numerical model. Then, the framework of the monitoring method was designed, and suitable sensors were chosen and the sensor layout plan was proposed according to the structural characteristics and deformation characteristics of the woven arch. Finally, the monitoring method was used to monitor the deformation of an ancient timber arch lounge bridge. The results of successive months of stable operation show that the monitoring method is characterized by automation and high precision, and it can meet the requirements of real-time dynamic deformation monitoring of the ancient timber arch lounge bridges. This method could be used for daily condition monitoring and disaster prevention of the ancient timber arch lounge bridges.
Theoretical study on similarity model of prestressed simply supported T-beam

In order to explore a design method suitable for the similarity model of prestressed reinforced concrete beams, the stress similarity criterion and stiffness similarity criterion are derived by combining the design value calculation formula of prestressed reinforced concrete beams and the calculation formula of beam section stiffness with the similarity theorem. Using the numerical simulation method, taking the prestressed concrete simply supported beam which has been tested as the prototype, the scale models of two similarity criteria are established, the prototype similar working conditions are applied to the model, the similarity of characteristic point results is analyzed, and the accuracy of stress similar model and stiffness similar model is studied. Using the model test method, two similar models are made of self-compacting mortar and galvanized steel wire. The three-point bending condition similar to the prototype is applied to analyze the similarity of characteristic point results. The results show that the deformation error of concrete and reinforcement in the stiffness similar model is less than 15%, but the stress results are very different. The error of stress results of concrete and reinforcement in the stress similarity model is less than 15%, but the deformation results are very different. Therefore, the model test can make two models according to two design criteria to simulate the corresponding characteristics respectively.
Managed Software, Hardware, and Shared Services – Once Upon a Cloud

This chapter explores cloud and shared services, and shows there are many types and variations of cloud services. Technology can help avoid duplication and save resources through centralized systems, such as eliminating administrative support services that are redundant, and that can be better executed on an enterprise-wide scale. Some cloud service providers offer assurances that their cloud facilities are located within the continental United States as opposed to being located in just about any place in the world. The cloud in an IT setting can significantly alter the government technology enterprise as well as just about every government program, service, and office operation. The move toward virtualization consolidation began with reducing costs and wasteful redundancy. From a government organization's perspective, public cloud services generate even greater economies of scale and sharing of resources than virtualization, reducing costs and increasing choices of technologies.
Public Administration Studies and Management Discourse in the Post-Korean War Period Korea

This article focused on the management discourse after the Korean War and reviewed it focusing on the process of introducing public administration studies. In previous literature, the knowledge of public administration, which was introduced in earnest with US-Korea technical cooperation, was identified only by the influence of American public administration studies, but in this article, it was examined that it was related to studies in Japan as well as in the United States.BRSocial scientists who studied public administration during this period developed two major administrative theories, emphasizing the utility and significance of management in common. One was to understand that politics and administration are inseparable based on the expansion of the function of modern states and the existence of administration-led plans and policies, and to pay attention to the political functions through public administration. The other was to emphasize the uniqueness of public administration and the managerial aspect.BRFrom the postwar period to the early 1960s, knowledge of public administration as a management discourse grew its influence through public official education. American scholar Fred W. Riggs introduced administrative perception based on tradition-modernity dichotomy to Korea and influenced public administration research. The coup forces, who paid attention to the managerial function of public administration, tried to spread management-oriented administrative ideas and attitudes to all public officials, and incorporated management theory into both the subject and the system by establishing the Bureau of administrative management. This aspect was based on the intention of the coup forces to use management discourse as a technology of rule for economic growth and modernization.
Foreign language reading anxiety and reading comprehension of Korean secondary EFL students

This study examines the foreign language reading anxiety of Korean students and its relation to reading comprehension. Furthermore, it investigates the main sources which affect foreign reading anxiety. Forty-eight students participated in a survey, in which they took the Foreign Language Reading Anxiety Scale (FLRAS) and an English Reading Comprehension Test (ERCT). Their scores of each FLRAS and ERCT were compared to see the correlation. The result found that there was a positive relationship between reading anxiety and reading comprehension. In addition, the primary factors that affect reading anxiety were text-related reading anxiety which becomes the first rank of the causes of anxiety followed by cognitive anxiety including feeling intimidated in understanding and remembering while reading. This study is implicative for understanding L2 learners’ psychological aspects such as apprehension and having an appropriate attitude and approach in guiding students with fears in foreign language learning.
Geological studies and engineering applications of some Middle Eocene carbonate rocks in East The Minia Area, Egypt

Abstract Carbonate rocks from the Minia, Samalut, Maghagha, and Qarara localities were collected for geological and engineering research. The purpose of this study is to determine the suitability of these rocks for exploitation in the construction, aggregate, and chemical fields. The petrography, physical, and mechanical analyses show that the rock has the most suitable qualities for many uses in structural engineering fields and chemical plants. Samalut Formation carbonates are exceptionally pure. As a result, they are suitable for paper, paint, and other chemical industries, whereas carbonates from the Minia Formation are suitable for paint, cement, and building. Additionally, the Maghagha and Qarara Formations are appropriate for construction.
LTRNet: A Lightweight Topography Recognition Network

Topography recognition is essential for environmental science and ecological research. Conventionally, the deep-learning-based method will improve the recognition accuracy, but the large model size limits the application on the platform like UAVs (unmanned aerial vehicles). This paper proposes the LTRNet (Lightweight Topography Recognition Network) to improve accuracy and reduce computational complexity. Besides, we manually prepared a dataset located in China. 1545 DEM (digital elevation model) imagines are collected, including four categories of topography: city, hill, mountain, and plain. Experimental results on our dataset show that the LTRNet has an accuracy of 88.4% and only has a size of 0.58MB.