Reviewerly/exHarmony huggingface dataset:
Panoramic Image-Based Indoor Place Recognition Experiment Dataset Construction and Verification Method

As interest increases in robotics, virtual reality, and indoor navigation systems, indoor location information extraction systems are becoming important. Among them, visual place recognition technology is being actively researched. Existing methods mainly use monocular images outdoors to recognize places. However, indoor monocular images alone provide insufficient information. Therefore, in this study, we build an indoor place recognition experimental data set based on panoramic images containing more information and propose a verification method. The proposed method showed better place recognition results when using panoramic images than monocular images. Therefore, this proposed method is expected to be helpful in developing an indoor location information extraction system and can be used in various fields.
Method for 3D Pose Estimation through 2D Pose Characteristics in an Image

Due to the development of robotic automation and home training, the process of recognizing people"s 3D poses has become necessary. Many studies are being conducted to estimate human poses from images. However, due to the nature of images in which joint information is projected onto a plane, it is often difficult to check all pose-related information in a given image due to self-occlusion or occlusion by objects. This study proposed an approach for 3D pose inference by restoring feature points defined as relationships between joint coordinates in images where only incomplete joint information can be obtained due to occlusion. 3D posture is inferred using 71 feature point information, including normalized values for the positions of joint coordinates and values defined as relative relationships between joint coordinates. By estimating 3D posture by including not only information about the 2D joints themselves but also feature point information considering the relationships between joints, posture estimation was possible without 3D standard posture regulations.
Atlas Video Super-Resolution Method using Depth-wise Separable U-Net

As high quality media demand, deep learning based super-resolution methods have shown the visual performance improvements to create high resolution (HR) videos from low resolution (LR) videos. In this study, we propose a altas video super-resolution method using depth-wise separable u-net, so called DSUN. In order to evaluate the super-resolution performance, we used the atlas, reds, vimeo-90k test dataset. In the experimental results, DSUN demonstrated high performance across all dataset compared to the state-of-the-art methods.
PENGARUH MEDIA HIRAGANA GOI KARUTA TERHADAP PENGUASAAN KOSAKATA BAHASA JEPANG SISWA

Vocabulary is something that must be mastered in order to communicate well and correctly. Based on observations during educational field practice (PLK) at SMAN 1 Koto Therefore, the solution given to overcome the problem of low student motivation and vocabulary is by using hiragana goi karuta media. The research is purpose to reveal the hiragana goi karuta media effect on students' vocabulary mastery in learning Japanese. This research included in quantitative research. This method for research is an method in experimental in the shape of a Quasi Experiment (quasi experiment). The design used in this research was a one group pretest posttest design through sample of 35 people. From the hypothesis test found in the paired sample t-test results, so the conclusion that H0 was rejected and H1 was accepted at a level of significant is 0.05, because the sig value &lt;0.05 (0.000&lt;0.05) which means there is a significant difference from the pretest value results. and posttest. So, the conclusion the use of hiragana goi karuta media is effective in mastering the vocabulary of students at SMAN 1 Koto XI Tarusan.
Design and Implementation of Multi-key Blowfish and CAST Algorithm: Comparative Study with CBC, CFB and CTR Modes

In modern communication systems, secret keys are used to secure sensitive information such as personal data, financial transactions and government secrets. However, the security of these systems is only as strong as the secrecy of the key utilized for encrypting and decrypting the data. The use of easy guessable or compromised keys can lead to unauthorized access, data breaches, and identity theft. Additionally, the distribution and management of secret keys present challenges such as key generation, key distribution, key revocation, and key renewal, which can be complex and costly. Therefore, finding secure and efficient methods to manage secret keys is crucial for ensuring the confidentiality, integrity, and availability of sensitive information in today's digital age. Therefore, to improve the security of the symmetric encryption algorithms, The new method to encrypt and decrypt the difference size files using multiple keys is proposed. In addition to investigate the impact of using multiple keys on the security and performance of symmetric algorithms. However, the multiple keys are generated previously using MD5 and SHA2. The chosen algorithms in this study are Blowfish and CAST, with chosen three modes of operation: CBC, CFB and CTR. The results presented in the paper demonstrated that the Blowfish algorithm with generated multiple keys outperforms in the CBC mode despite has the most encryption and decryption time-consuming and memory usage. Where the randomness of Blowfish with mode CBC and CTR is the best throughput then it follows Blowfish with mode CFB.
Analysis of Combat Effectiveness and Military Application Plan of Biological Signal Monitoring and Cognition Technology

Through Defense Innovation 4.0, our military is currently seeking a change in military development from strengthening defense power with superior force/firepower to strengthening defense power through technological/qualitative improvement in order to foster an advanced science and technology force. In particular, the latest scientific technologies, such as AI, IT convergence technology, space utilization ability, lasers, and robots, which have attracted attention through the 4th Industrial Revolution, have accelerated due to the coronavirus pandemic and are being developed into surveillance and By integrating cutting-edge smart sensors and AI (artificial intelligence) technologies into reconnaissance, command and control, and precision settlement systems, we are developing a complex system in which combatants and weapon systems are hyper-connected. In this study, we aim to introduce bio-signal technology, which has been actively researched not only in the civilian world but also in the military, and to suggest new methods that can be used to improve the survivability of individual combatants on the battlefield and increase combat effectiveness when used militarily. do. In particular, in order to increase combat effectiveness, we would like to select and present an optimal command system through the Delphi technique and alternatives that can be used as a command and control tool in a noise-free and non-operational state.
Reading Research Journal Articles in an EFL context: A Pilot Study on Confidence and Difficulty

This study is based on previous research that compared to textbooks, students find both the style and the level of writing of empirical articles such as research journal articles is difficult to understand. The stages of reading the journal articles are complex. Moreover, there are more studies found in sciences resulted various difficulties but limited research in a foreign language context as the journal articles are written in English. Therefore, there needs an investigation the complexity of reading journal articles to provide some way out to lessen the challenges. As a pilot study for further investigation, a questionnaire was delivered online using google form to 28 students enrolled in the courses of Advanced Reading and Advanced Writing, aged 19-22. They learn to read journal articles in the courses. The given questionnaire consisted of two sections; students self-rated confidence (adapted from Sego and Stuart, 2015) and difficulties in reading comprehension of journal articles (adopted from Chen, 2017). Using simple descriptive statistics, the results revealed that the students have three most major difficulties in reading journal articles, namely short attention span, having a problem understanding the main points, and Limited semantic knowledge (professional terms). They also have three main least challenges; do not know where to start reading, do not understand the tables, charts or statistics, memory failure. The students have the highest confidence in their ability to read and understand the content, however they have the least confidence in their abilities to write coherent summaries of journal articles. The findings imply that the students need to have more time to familiarize themselves with characteristics and construction of journal articles including what should be written in each section of the paper such as introduction, literature review, methodology, findings, discussion, and implication and limitation of the study.
A Study on the Educational Possibility of Unification Sensitivity in the Korean Childrean's Literature

The purpose of this study is to attempt two studies related to unification education. The first is to reflect on the existing concept of ‘unification sensitivity’, and the second is to rethink unification sensitivity in terms of ethics and publicness based on this reflection. The three goals of ‘unification sensitivity’ are as follows. First, we feel compassion by experiencing the suffering of others. Second, develop a sense of identification that the pain of others can become your pain. Lastly, this sense is expanded to include social and public ethical sensibilities. Based on these findings, this paper provided the possibility of ‘unification sensitivity’ education targeting Korean children's literature since 2000s that featured North Korean immigrants. The possibilities provided are as follows: 1. Through Jo Gyeong-suk's novels, we indirectly experience the lives of North Korean immigrants and recognize their suffering. 2. Through Park Gyeong-hee's novels, we re-recognize the emotions of compassion that have been thought to be different between North Korean immigrants and South Korean children, and compare and contrast ‘my pain’ and ‘their pain’ along the same line. 3. In Jeon Seong-hee’s novels, ‘unification sensitivity’, which has been limited to the personal level(in terms of identification with compassion), is expanded to public sensitivity. Expanding the unification sensitivity mentioned in this paper to ethical sensitivity and the public domain can contribute to diversifying not only unification education but also unification discourse.
DEVELOPMENT OF TEACHING MATERIALS FOR BANK AND NON-BANK FINANCIAL INSTITUTIONS COURSES

The learning facilities and resources used in the learning process for Banking and Non-Bank Financial Institutions courses are very limited in terms of the quantity available. and has not represented PIP Unmul, namely Humid Tropical Forests and Their Environment. so the impact on interaction between students and learning resources is still not optimal. The development model used in this research is the research and development model. ADDIE development model (analysis, design, development and implementation, and evaluation). The types of data used in this research are qualitative data and quantitative data. Qualitative data was obtained from interview data from lecturers and students. The results of product feasibility validation tests obtained a score of 95.15% and practitioners obtained a score of 93.47%. The results of the small group trial obtained a score of 77.25%, which means the media was very interesting, while the effectiveness of the media showed that 87.88% of students obtained a score ≥ 70. The subjects in this field test were 62 students, which were measured using 10 indicators with average results. falls into the good category. The effectiveness of books can be measured from student learning activities in achieving learning goals through learning outcomes. In conclusion, the teaching materials developed are able to have a positive impact on the implementation of the learning process.
Exploring the Experience and Meaning of Metaverse-based Cultural Arts Education

Objectives The purpose of this study was to explore the experience and meaning of metaverse-based cultural arts education. Methods To achieve this research purpose, it was conducted through literature research. Results Meterverse-based digital learning is based on gamification elements, and learners engage in various activities as avatars. Through this, learners experience fun, immersion, and a sense of presence. In cultural arts education, reconstruction-centered model and demonstration-centered model are suitable for metaverse-based cultural arts teaching and learning. Metaverse-based cultural arts education provides openness, flexibility, and diversity because it allows for various experiments that have not been attempted in traditional cultural arts education. Conclusions In the metaverse, learners act and interact as avatars, the subjects of the community, and can experience much more intense immersion and liminoid experience than the real world due to the characteristics of the metaverse, such as reality and presence. Through cultural and artistic education in the metaverse world where freedom with almost no limits and infinite possibilities are secured, learners can expand beyond existing activities and create new creations. Additionally, through representation and performance in the metaverse, learners can grow into cultural producers.
Culture Shock And How To Overcome It So You Can Adapt: Case Studies On Summer Courses Program Participants At Rajamangala University Of Technology Krungthep

The main problem faced by summer courses students is the problem of communication with Thai people, the majority of whom use the Thai language due to cultural differences. Therefore it is necessary to make adjustments in order to communicate effectively. This research was conducted to find out the form of culture shock experienced by the summer courses participants and how they tried to adjust themselves in dealing with this phenomenon.&#x0D; This research is a qualitative research using ethnographic methods, namely research conducted to find out the meaning and form of socio-cultural in a society that has diversity. The results of this study are that the first-time summer courses students experience two aspects of culture shock, namely environmental aspects and social aspects which include language, food, weather and communication with the community around the environment where they live. The effort they make is to keep trying
Efektivitas Media Bingo Untuk Pembelajaran Kosakata Bahasa Jepang Pada Siswa SMA

Based on researchers' observations, the study is in the background because students often find it difficult to memorize a Japanese vocabulary. The purpose of this study is to know the effectiveness of bingo media for the study of the Japanese vocabulary in high school students. The type of research used in this study is a quantitative study with a pre-design research design. The research design used was one group pretest posttest. The sample in this study is sophomores 1 as many as 20 students. Sampling retrieval in this study uses an impressive sampling technique. The data in this study is the result of pretest and posttest. The instrument used to collect data on an objective test of multiple choice as much as 30 grains of matter. Based on the calibrated test results can be seen from the value of sig (2-tailed) 0,000 &lt; 0.05. H1 is accepted and h0 is denied, which leads to the conclusion that media bingo is significantly effective for the studies of the Japanese vocabulary of sophoma-grade science 1 high school pgri 1 padang. In addition, students have improved their study of Japanese vocabulary after using media bingo. This increase can be seen from an average of 58 pretests and posttests to 86.
Efforts to Increase the Interest and Learning Outcomes Students in Learning Indonesian Through Slipboard Media

Purpose of the study: This research aims to increase class IV students' interest and learning outcomes in learning Indonesian through slip board media.&#x0D; Methodology: The research method used was classroom action research, which was carried out at Elementary School 07 Palembang in class IV A. The sampling technique used was purposive sampling. The data collection instruments used were observation instruments and evaluation tests. The data analysis used is qualitative descriptive techniques and quantitative percentages of student interests and learning outcomes.&#x0D; Main Findings: Based on the research results, it is known that there has been an increase in students' interest and learning outcomes in learning Indonesian. This means that by using slip board media, students are able to increase their learning activities.&#x0D; Novelty/Originality of this study: The newness of this research lies in the slip board media used by researchers, where learning Indonesian can increase students' interest and learning outcomes. The limitation of this research is that it only focuses on class IV A of elementary schools. Researchers recommend that other research develop slip board media for Indonesian language learning or use other media in order to increase the interest and learning outcomes of elementary school students.
STUDY OF SECURITY FEATURES PRESENT IN NEPALI PASSPORT

Security features present on Nepali passport are examined with the help of Video Spectral Comparator. Mainly examination is carried out with application ultra-violet light, normal light, oblique light and transmitted light. We obtain different types of security features including florescence, ghost image, binding thread, optical fiber, punched number, barcode, micro-printing, watermark, emboss etc. The main aim of this work is to provide information about security features present in Nepali passport so that concern agencies as well as general public to distinguish between genuine and fake passport.
IOT DEVICE SECURITY RISKS: A COMPREHENSIVE OVERVIEW AND MITIGATION STRATEGIES

The research paper delves into the intricate realm of IoT device security, unravelling the multifaceted risks and presenting a nuanced exploration of mitigation strategies. A comprehensive literature review unveils common security threads and the current state of IoT security measures. The subsequent analysis identifies security risks, including unauthorized access, encryption lapses, authentication weaknesses, physical vulnerabilities, and privacy concerns. Mitigation strategies encompass technical measures, policy frameworks, and user education, forming a holistic approach. The paper concludes by outlining recommendations for future research, emphasizing interdisciplinary collaboration, dynamic threat modelling, privacy-preserving technologies, standardization, certification, and blockchain integration. Envisioning a secure and connected future, the research underscores the pivotal role of manufacturers, policymakers, and users in shaping a resilient IoT landscape.
Adoption of Teaching Strategies Leveraging on Augmented Reality &amp; Virtual Reality in Higher Education in Less Developing Countries: A Case of BURUNDI

Augmented Reality & Virtual Reality in less developing countries are a good way to solve the main challenges facing the education and research sector. However, the leading countries such as United States of America, China, Australia have accumulated the rich experience in Virtual and Augmented Reality and the less developing countries have some pilot experience. Moreover, the relevant technologies are becoming mature and the cost is decreasing in a fast speed. The aim of this work is to show the benefits of Augmented Reality & Virtual Reality in education and propose its implementation in less developing countries in order to achieve sustainable development.
Transformer-Based Punctuation Restoration Models for Indonesian with English Codeswitching Speech Transcripts

Punctuation restoration (PR) is a crucial task for improving the human readability and usability of speech transcripts in spoken language processing. However, to the best of our knowledge, there is no punctuation restoration model available for Indonesian speech transcripts, especially when it comes to Indonesian-English code-switch speech. This paper introduces transformer-based models that restore punctuations for Indonesian with English code-switch speech transcripts. The study investigates the ability to perform cross-lingual punctuation restoration for Indonesian speech using a model trained with a Malaysian-English codeswitch dataset. Subsequently, models trained on datasets of Indonesian, Indonesian-English codeswitch, and the combination of them plus the Malaysian-English codeswitch dataset are compared. Experimental results show that the cross-lingual model achieved the F1 scores of 40.7% and 41.9% on Indonesian and Indonesian-English codeswitch test sets, respectively. The results are surprisingly low when no Indonesian data has been used for training, even though Malaysian and Indonesian languages are known to share similarities. When Indonesian corpora are incorporated, the best results surged to 73.3% and 62.4% for Indonesian and Indonesian-English code-switch test sets, respectively. The results provide valuable insights into the effectiveness of transformer-based models for punctuation restoration in Indonesian and Indonesian-English code-switch speech. The findings contribute to advancing the field of punctuation restoration, supporting the possibility of cross-lingual knowledge transfer, and enhancing downstream spoken language processing tasks.
Implementation of Query Expansion to Enhance Word2Vec Performance in Hoax News Detection Systems

The rapid development of the internet has made accessing various news easy and quick. However, the spread of news on the internet sometimes does not align with the actual situation, leading to the need for hoax news detection systems. These systems are built to analyze the truthfulness of news articles. One popular approach in hoax news detection is the utilization of the Word2Vec model for feature extraction. Unfortunately, the Word2Vec model has a limitation in representing words that are not present in the training data, also known as out-of-vocabulary (OOV) words. To address this weakness, this research proposes the application of the XLN et transfer learning model combined with the Query Expansion technique. By incorporating XLNet, the research aims to solve the OOV problem by expanding the original words while preserving the overall context of the words. This approach is expected to improve the performance of Word2Vec in the hoax news detection system. In summary, this research focuses on enhancing the hoax news detection system by leveraging the XLNet transfer learning model and Query Expansion technique to tackle the OOV problem inherent in the Word2Vec model. By doing so, the aim is to improve the accuracy and effectiveness of the system in identifying and classifying hoax news articles.