Reviewerly/exHarmony huggingface dataset:
Pullback Bundles and the Geometry of Learning

Explainable Artificial Intelligence (XAI) and acceptable artificial intelligence are active topics of research in machine learning. For critical applications, being able to prove or at least to ensure with a high probability the correctness of algorithms is of utmost importance. In practice, however, few theoretical tools are known that can be used for this purpose. Using the Fisher Information Metric (FIM) on the output space yields interesting indicators in both the input and parameter spaces, but the underlying geometry is not yet fully understood. In this work, an approach based on the pullback bundle, a well-known trick for describing bundle morphisms, is introduced and applied to the encoder-decoder block. With constant rank hypothesis on the derivative of the network with respect to its inputs, a description of its behavior is obtained. Further generalization is gained through the introduction of the pullback generalized bundle that takes into account the sensitivity with respect to weights.
Development of the Dokdo Culture and Arts Education Program Using Gather.town

This study aims to design a Dokdo culture and arts education program utilizing the metaverse platform Gather.town, offering an integrated instructional blueprint that merges the metaverse environment. Building on previous research related to the metaverse and Gather.town, and guided by an expert content review, this program was conceptualized around the third stage of learning: exploration, expression, and expansion. In the exploration stage, students were enabled to explore Dokdo in a virtual environment, without the constraints of time or space, and engaged in virtual classrooms where they sang songs to discover the unique characteristics of Dokdo. During the expression stage, learners engage in cultural and artistic activities to depict Dokdo. Lastly, in the expansion stage, students promote the artistic representations of Dokdo they've created. Through this uniquely crafted Dokdo Culture and Arts Education Program, students can experience a novel form of cultural and arts education within the Gather.town environment.
A Study on the Recognition of Participants in Flipped learning

This study attempted to study the satisfaction and perception of flipped learning for instructors and learners who participated in the flipped learning course at University A. University A professors had difficulty designing classes step by step (pre-class, In-class, post-class) apart from satisfaction with the teaching method, and wanted efficient pre-class monitoring and teaching tips on learners' motivation to learn. Students at University A positively recognized the flipped learning method as autonomous pre-class, preparation and review through repeated viewing, and discussion activities in this class. Based on this, it was found that University A's flipped learning education needs to check and feedback on pre-class, and to create a culture to change the perception of all members of the educational effect of flipped learning.
A Study on the Description and Education of Connective Endings in the “Korean Language and Korean Culture” Textbook

This study examined the presentation and description of the connective endings of the textbook “Korean Language and Korean Culture” for the purpose of social integration, and proposed the selection, description, and method of education of the connective endings. Chapter 2 revealed that a total of 45 connective endings were presented in “Korean Language and Korean Culture”, analyzed the characteristics and descriptive aspects of the form presentation of these connective endings, and examined the lack of syntactic and pragmatic descriptions in this textbook. In Chapter 3, based on the results discussed in Chapter 2, the selection and the description of connective endings were proposed to supplement the “Korean Language and Korean Culture” textbook in the future. Chapter 4 introduced Gagné's nine class situations in terms of the education of the connective endings and then presented educational procedures in line with the purpose of social integration.
PBL Teaching Case Study of Therapy Practice Course

This study was conducted to develop a new teaching process by applying PBL to the practical therapy curriculum that can realize the purpose of skin care curriculum education. The study sought to achieve the class goal by increasing students' interest in major subjects through a growth process in which they solve problems on their own regarding the knowledge and practice of technology for therapy in various industrial fields. As a result of the main keywords in the self-reflection diary, very positive results such as ‘exploration, cooperation, and communication’ were derived, and the solution to the problem through teamwork was revealed very clearly. Accordingly, the application of PBL to therapy practice can be expected to increase students' major practical skills through their own independent learning.
A Study on Multicultural Literature Education Using &lt;Pachinko&gt; by Min Jin Lee

The purpose of this paper is to design a reading class for multicultural literature using the novel &lt;Pachinko&gt; by Min Jin Lee, a 1.5th generation Korean-American author. In Chapter 2, reviews were conducted, and in Chapter 3, the author and the outline of the work were first examined, and the characteristics, narrative structure, and content development flow were examined. It also discussed what essential characteristics and elements of &lt;Pachinko&gt; can be used as materials for multicultural literature education. Chapter 4 established a theoretical foundation for multicultural literature education and discussed the principles and points of instructional design. Finally, actual classes were designed and learning activities for each class were devised. After designing the entire class by dividing it into six classes by considering the goals and contents of the class and the narrative development of the work, the class goals and learning activities for each class were organized. Unlike previous studies on &lt;Pachinko&gt;, this paper is meaningful in that it explored the possibility of use as a multicultural education material and prepared practical instructional design plans.
Research on the Development of a Culture: Based Early Childhood Teacher Education Program

The purpose of this study was to develop a culture-based teacher education program to enhance the aesthetic sensitivity of early childhood teachers. First, literature reviews and previous studies were analyzed to derive basic data Second, we collected basic data for program development through big data analysis and expert and teacher needs analysis. Third, we conducted an expert appropriateness review of the program development draft. The program presented goals, organization strategies, and teaching strategies. A total of nine sessions were developed with three themes of 'I, you, and we' and detailed operational plans were presented. The significance of this study is that it presented the direction, content, and implementation of a program to cultivate the aesthetic and emotional competence of early childhood teachers.
A Critical Study on Korean Language Department Curriculum Research at Overseas Universities

The purpose of this study is to examine how research on the Korean language education curriculum in foreign universities has been conducted and to explore future research directions. To achieve this, 31 research papers were extracted and analyzed using a classification framework based on previous studies. The research in this field had a minimal increase until 2013 but has shown a steady growth since 2015, indicating an expansion of research on Korean language education curriculum from domestic to international contexts. Most studies focused on analyzing the curriculum, while studies on design and comparison were relatively limited. Chinese research on the curriculum was the most prominent, often covering the entire curriculum, while studies focusing on specific functions or subjects were lacking. In terms of research methods, descriptive analysis was predominantly used, and the application of diverse research methods was found to be limited.
Reality and Improvement of Korean Historical Culture Education for Korean Language Learners

The purpose of this paper is to present an educational plan to efficiently teach Korean history and culture to Korean learners in the field of Korean language education for foreigners. In this paper, we conceptualized history and culture, focusing on discussions on history and culture education at home and abroad. In addition, the categories of Korean history and culture were set and the main contents and characteristics of each category were investigated. As a result, it was confirmed that “history” or “historical culture” was included in the universal Korean curriculum and textbooks, and it was also included in the textbooks. However, in the current Korean language education, “historical culture” education has limitations in many ways, and as a way to improve it, cooperation with neighboring studies, development of curriculum based on demand surveys, and improvement of teachers' capabilities were suggested.
Aspects of Korean University Students’ Reading Strategies through Think-aloud Protocol: Focusing on Proficiency Levels and Item Types

The purpose of this study is to examine six Korean university students’ reading strategies by proficiency levels and item types. A think-aloud protocol, interviews, and observations were employed and all qualitative data were analyzed using NVivo 12. Fistly, it revealed that high proficieny groups preferred general strategies and meta cognitive strategeis, while intermediate/low proficiency groups preferred local strategies. Secondly, it indicated that it is effective to go back to the text and find the evidence in the text and make judgement based on their understanding of the text in both factual information items and inferencing items. In the case of insertion items, certain strategy use was observed, differing from other items. Also, it showed that there is a difference of all the strategies used in the study between high proficiency groups and other proficiency groups. Lastly, pedagogical implications and suggestions for future research are discussed.
Performance Evaluation of Block-Sized Algorithms for Majority Vote in Facial Recognition

Facial recognition (FR) is a pattern recognition problem, in which images can be considered as a matrix of pixels.There are manychallenges that affect the performance of face recognitionincluding illumination variation, occlusion, and blurring. In this paper,a few preprocessing techniques are suggested to handle the illumination variationsproblem. Also, other phases of face recognition problems like feature extraction and classification are discussed. Preprocessing techniques like Histogram Equalization (HE), Gamma Intensity Correction (GIC), and Regional Histogram Equalization (RHE) are tested inthe AT&amp;T database. For feature extraction, methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA), and Local Binary Pattern (LBP) are applied. Support Vector Machine (SVM) is used as the classifier. Both holistic and block-based methods are tested using the AT&amp;T database. For twelve different combinations of preprocessing, feature extraction, and classification methods, experiments involving various block sizes are conducted to assess the computation performance and recognition accuracy for the AT&amp;T dataset.Using the block-based method, 100% accuracy is achieved with the combination of GIC preprocessing, LDA feature extraction,and SVM classification using 2x2 block-sizingwhile the holistic method yields the maximum accuracy of 93.5%. The block-sized algorithm performs better than the holistic approach under poor lighting conditions.SVM Radial Basis Function performs extremely well on theAT&amp;Tdataset for both holistic and block-based approaches.
Sentiment Analysis in Indian Elections: Unraveling Public Perception of the Karnataka Elections With Transformers

This study explores the utility of sentiment classification in political decision-making through an analysis of Twitter sentiment surrounding the 2023 Karnataka elections. Utilizing transformer-based models for sentiment analysis in Indic languages, the research employs innovative data collection methodologies, including novel data augmentation techniques. The primary focus is on sentiment classification, discerning positive, negative, and neutral posts, particularly regarding the defeat of the Bharatiya JanataParty (BJP) or the victory of the Indian National Congress (INC). Leveraging high-performing transformer architectures like IndicBERT, coupled with precise hyper parameter tuning, the AI models used in this study exhibit exceptional predictive accuracy, notably predicting the INC's electoral success. These findings underscore the potential of state-of-the-art transformer-based models in capturing and understanding sentiment dynamics within Indian politics. Implications are far-reaching, providing invaluable insights for political stakeholders preparing for the 2024 Lok Sabha elections. This study stands as a testament to the potential of sentiment analysis as a pivotal tool in political decision-making, specifically in non-Western nations.
Reading Comprehension and Literary Appreciation: an Analysis of Students Difficulties

Abstract. This research aims to analyze difficulties encountered by students of the English Education study program at Tadulako University in reading comprehension of literary works. A qualitative approach with a descriptive research design applied in this research. The samples were 98 students chosen randomly. Data were collected from existing documents, that is the results of pretest administered in the Reading for Literary Appreciation class. Results of data analysis showed that the students’ reading comprehension of the three genres of literary works – prose, poetry, and drama is low with percentage intervals of comprehension 18-37%. Eight difficulties encountered by the students in reading comprehension of literary works. They were vocabulary mastery, making inferences, recognizing the author’s opinion/bias, summarizing and paraphrasing, identifying figurative language, analyzing poetic or sound devices, evaluating author’s style, and analyzing the story elements. The findings provide information on students’ difficulties in reading comprehension of a variety of literary texts (prose, poetry and drama), which previous research have not yet investigated it. Therefore, teachers can design and apply strategies to help students improve their reading comprehension. Future researchers, furthermore, can find these findings resourceful to support their studies. Keywords: Reading Comprehension, Literary Works, Reading for Literary Appreciation
Socio-philosophical aspects of the adaptation of students studying under the program “Serpin”

This article discusses the issues of social adaptation of students studying under the program “Serpin-2050” in the university space. The social and educational conditions of educational organizations participating in the implementation of the state program “Mangilik El Zhastary – industriyaga!” – “Serpin-2050” are analyzed. The reasons for the adoption of the social program “Serpin -2050”, which involves educational migration from the southern labor-surplus regions of the country to the northern, eastern and western regions of Kazakhstan experiencing a shortage of workers, are explained. The issues of socio-cultural adaptation of the Serpinov students of the Karaganda University named after Academician E.A. Buketov studying under this program are being studied, which, despite the fact that the university administration is making considerable efforts to improve its social infrastructure, still remain relevant. The material for this work was the results of a sociological study conducted at the Karaganda University within the framework of the project funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP14971423). The article analyzes the results of the study, which are devoted to the issues of identifying problem areas in the process of social and cultural adaptation to the educational conditions of university students and determining the factors of their successful socialization and adaptation to the external environment in the process of obtaining educational competencies. The results of the presented work can be used by specialists in various fields (sociologists, psychologists, teachers, social workers, etc.) whose object of activity are students, as well as in the practical activities of specialists involved in the development of the social infrastructure of modern universities and can be useful in adjusting state policy in the distribution of educational grants to universities and educational programs higher education.
Image Enhancement Algorithm Based on Multi-scale Convolution Neural Network

Underwater image acquisition is susceptible to color distortion, insufficient exposure, and blurry details caused by the characteristics of underwater scenes. To address the above issues, this paper proposes an underwater image enhancement algorithm based on multi-scale underwater convolutional neural networks, combining convolutional neural networks with underwater scene physical imaging models. Firstly, improve the underwater imaging model to make the imaging process of underwater objects more natural and reasonable; Then design encoder, multi-scale convolution, and decoder network modules for estimating background scattered light, direct transmission component, and backward transmission component, respectively. At the same time, the overall network design combined with the residual network model introduced skip connections to reduce the complexity of network computation. Finally, the underwater image is reconstructed based on the improved underwater imaging model. The enhancement results of underwater images show that compared to a single scale network, the method proposed in this paper can effectively eliminate the impact of underwater environmental factors. While restoring image color, it also enhances texture details, and achieves better results in quantitative evaluation, providing a new approach to underwater image enhancement.
A Fuzzy-Based Improved Dynamic Window Approach for Path Planning of Mobile Robot

Robot path planning algorithms can plan a safe path from one point to another, and Dynamic Window Approach (DWA) is a commonly used planning algorithm. However, such method usually does not consider the direction of the robot, so that the robot at the planning end point has a large deviation from the desired direction. At the same time, the robot is not sensitive enough to dynamic obstacles during planning. In this paper, a fuzzy-based improved DWA is proposed for path planning of mobile robot. In the local path planning, the cost functions of the traditional DWA are optimized to regulate the robot direction. The fuzzy controller is introduced to dynamically tune the planning tendency of the robot in each stage. Compared with the traditional DWA algorithm, the improved DWA algorithm can enable the robot to complete the planning with end-direction constraints in unknown environments. Simulations of two static scenes and two dynamic scenes show that robot can move to the destination in high direction accuracy and effectively avoid obstacle with fuzzy-based DWA.
Android Smart Phone Forensics using Open Source Tools

Abstract: Mobile Smart Phone Technology (MSPT) is one of the greatest civilizations in history, but, unfortunately, the same is being taken advantage of and unseemly conduct is inevitable. Android Technology is fast evolving and dominating over its competitors because of its features, open-source architecture and ease of customization. In addition, Android Apps often use Self-Signed certificates unlike Apple Apps bound by Certificate Authority. To overcome the challenges of security in the newer versions of Android, the concept of a Virtual Android phone using a Genymotion Emulator is adopted. This approach will help in analyzing the latest phones through open-source tools without the need to physically procure them. The virtual phone interface is the same as the physical phone but it obviates the need to root/bypass the phone security, thereby allowing the researcher to concentrate on developing techniques for extracting forensic artifacts. Open source tools are used to carry out the research and a comparative analysis is done so that a combination of tools can be used to extract the maximum artifacts from the phone
Design of Japanese for Food service: Weekly Learning Activities and Edutech

In this paper, we define the concept of ‘Japanese for food service’ and proceed with the design of weekly lesson plans. Drawing inspiration from the hybrid learning model, we incorporate educational technologies into classroom instruction to enhance learning outcomes. Furthermore, we explore the integration of the interactive AI service, ChatGPT, in the lessons to boost learner engagement. We ensure that learners actively utilize various tools such as quizlet, ChatGPT, e􋹲books, MiriCanvas, and Padlet, fostering a self􋹲directed learning environment. Through the utilization of diverse tools for ‘Japanese for food services’, we identify strategies that promote self􋹲directed learning, cater to learners' proficiency levels, and facilitate collaborative group activities. By referencing the examination subject related to ‘Japanese for food services’, we devise weekly instructional scenarios. These scenarios encompass Japanese script and pronunciation practice, vocabulary acquisition related to restaurant settings, exercises in practicing reservation confirmation and seating guidance expressions, explanations and recommendations for Korean, Chinese, and Japanese cuisines, descriptions and recommendations for beverages, handling customer requests, providing restaurant usage guidance, addressing customer complaints, practicing apology and forgiveness expressions, and transactional guidance. Furthermore, beyond acquiring conversational skills pertinent to restaurant scenes, we integrate the learning of Japanese manners and norms essential for interacting with Japanese customers.
Asymmetric quantization in hardware accelerator

This paper presents an efficient implementation of asymmetric quantization in hardware accelerator for deep learning applications. In this work, we show that asymmetric quantization provides better accuracy performance in AI inferencing with the same amount of storage and bandwidth requirements of a symmetric approach. Also, we provide the method to support the asymmetric approach in digital circuit. The results show that this software and hardware collaboration provide sufficient AI performance while achieving over significant silicon resources reduction.