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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Matsuzaka, Mizuki Sasaki, Yuma Hayashi, Kyohei Misawa, Takahiro Komine, Takashi Akutagawa, Tomoyuki Fujioka, Masaya Nishii, Junji Kaiju, Hideo Keio University Faculty of Science and Technology Yokohama223-8522 Japan Hokkaido University Research Institute for Electronic Science Sapporo001-0020 Japan Ibaraki University Graduate School of Science and Engineering Hitachi316-8511 Japan Tohoku University Institute of Multidisciplinary Research for Advanced Materials Sendai980-8577 Japan Keio University Center for Spintronics Research Network Yokohama223-8522 Japan

ISBN: (纸本)9798350338362

We fabricate magnetic nanojunctions using Ni78Fe22 (Py) thin-film edges which sandwich the high-mobility molecules, 2,7-dioctyl[1] benzothieno[3,2-b][1]benzothiophene (C8-BTBT) and investigate spin transport properties. As a result, a clear positive magnetoresistance (MR) effect is observed in Py/C8-BTBT/Py nanojunctions at room temperature. In addition, the observed positive MR effect can reveal that the magnetization curves of the thin-film edges are different from those of the thin film measured by magneto-optic Kerr effect spectroscopy. These findings offer a new insight into high-mobility molecular nano-spintronics, leading to the creation of functional spin devices. © 2023 IEEE.

关键词： Molecules

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GENPIA: A Genre-Conditioned Piano Music Generation System

GENPIA: A Genre-Conditioned Piano Music Generation System

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Internet of Sounds, International Symposium on the

作者： Quoc-Viet Nguyen Hao-Wei Lai Khanh-Duy Nguyen Min-Te Sun Wu-Yuin Hwang Kazuya Sakai Wei-Shinn Ku Computer Science and Information Engineering National Central University Taoyuan Taiwan Graduate Institute of Network Learning Technology National Central University Taoyuan Taiwan Electrical Engineering and Computer Science Tokyo Metropolitan University Hino Tokyo Japan Computer Science and Software Engineering Auburn University Auburn AL USA

ISBN: (数字)9798350366525

ISBN: (纸本)9798350366532

With the demand for music continuing to grow as people seek variety and personal resonance, many works focus on music generation. In this study, we propose GENPIA, a genre-conditioned piano music generation system. The system encompasses Anime, R&B, Jazz, and Classical music genres. To build our system, we collect and label audio data of various genres for the specific objective of our research. REMI audio representation with genre information extension is applied during data pre-processing to present the audio data with a better data structure. Transformer-XL is implemented as the model to learn knowledge about the extended audio representation and generate the desired output audio. An external dataset, called Ailabs. tw lK7, is utilized for pre-training purposes. The results obtained from a listening questionnaire show that GENPIA can generate better piano pieces conditioned on different genres compared to the prior state-of-the-art work.

关键词： Measurement Surveys Music Transformers Data structures Resonance Internet Labeling

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Critical research trends of mobile technology-supported English language learning: A review of the top 100 highly cited articles

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Education and information technologies 2023年第5期28卷 4849-4874页

作者： Monther M Elaish Mahmood H Hussein Gwo-Jen Hwang Benghazi Libya Department of Computer Science Faculty of Information Technology University of Benghazi. Kuala Lumpur Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya. Taipei Taiwan Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology. Taoyuan Taiwan Yuan Ze University.

Around the world, the number of English speakers and the significance of the English language are constantly increasing. Among various technology-supported instructional styles, Mobile learning (M-learning) has been recognized as a promising approach to enhance students' competencies and skills in the English language. By examining previous literature, a number of reviews have been performed to investigate the role of M-learning in the English language. However, none of these studies has highlighted the trends, opportunities, and challenges identified in the most cited articles that focused solely on the English language. Therefore, to address these limitations, this study performed a review of the top 100 most cited articles, published between 2007 and 2020, indexed by the Web of science, and addressing the English language only. The results revealed that most research in Mobile English Language learning (M-ELL) followed an experimental design and employed a single mobile learning implementation. Additionally, the current study identified a number of research areas that require additional research attention. For example, further research is needed among students learning from home, more qualitative research is needed, and additional research is required to improve students' higher-order thinking skills. The outcomes of this study provide a reference to researchers and educators who intend to use mobile technologies in the area of language education, especially in the context of the English language.

关键词： Applications in subject areas M-ELL Mobile learning Pedagogical issues Teaching/learning strategies

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Enhancing Usability and Learner Engagement: A Heuristic Evaluation of the AI-Enhanced Video Drama Maker App

Enhancing Usability and Learner Engagement: A Heuristic Eval...

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International Joint Conference on Computer science and Software engineering (JCSSE)

作者： Yi-Fan Liu Muhammad Irfan Luthfi Wu-Yuin Hwang National Academy for Educational Research New Taipei Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Dept. Electronics and Informatics Engineering Education Universitas Negeri Yogyakarta Indonesia College of Science and Engineering National Dong Hwa University Taiwan

ISBN: (数字)9798350381764

ISBN: (纸本)9798350381771

This study introduces the “AI-Enhanced Video Drama Maker” app. This innovative language learning tool integrates drama activities with Artificial Intelligence (AI) technologies, catering specifically to learners of English as a Foreign Language (EFL). Aimed at enhancing writing and speaking skills, the app utilizes drama-making for creative expression and real-world communication. This method is aligned with educational theories that emphasize the importance of authentic, contextualized learning experiences. The AI components, such as video-to-text recognition, Generative Pretrained Transformer (GPT)-generated sentences, and Text-to-Speech (TTS) features, are integrated to support and personalize the learning process. The study focuses on Heuristic Evaluation based on Nielsen's principles and gathering expert suggestions for enhancing the app's usability and user experience. Ten UI/UX design experts from two Taiwanese universities participated, providing valuable insights. Data collection was divided into three phases: system introduction, operation, and HCI design analysis. A questionnaire based on Nielsen's ten principles of Heuristic Evaluation was the main data collection tool, supported by SPSS for reliability and descriptive statistics analysis. The findings, underscored by a high Cronbach Alpha score, indicate the app's strong foundation in usability, especially in aesthetics and user support. Recommendations for improvement include enhancing user control, error prevention, and content diversity. The study concludes with the expectation that the app, after incorporating expert feedback, will effectively enhance EFL learners' writing and speaking skills.

关键词： Humanities Prevention and mitigation Writing Data collection Transformers User experience Text to speech

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Systematic Literature Review Langchain Proposed

Systematic Literature Review Langchain Proposed

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International Electronics Symposium (IES)

作者： Rakha Asyrofi Mutia Rahmi Dewi Muhammad Irfan Lutfhi Prasetyo Wibowo Faculty of Marine Science and Engineering Universitas Hangtuah Surabaya Indonesia Department of Computer Science and Information Engineering National Central University Taiwan Faculty of Engineering Universitas Negeri Yogyakarta Yogyakarta Indonesia Graduate Institute of Network Learning Technology National Central University Taiwan Department of Information Technology Politeknik Negeri Padang Padang Indonesia Department of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

While systematic literature reviews are frequently carried out within software engineering research, performing them in a rigorous and reproducible manner can be difficult. This paper proposes some new methods for evaluating and validating systematic literature reviews. Our approach consists of several steps, such as: Selecting a set of relevant scientific papers to analyze, Developing a list of questions and criteria to evaluate each literature review, and Determining what types of functionality and performance should be evaluated. We tested our method by having multiple experts evaluate the literature reviews based on our questions and criteria. We measured the similarity in scores between each expert to determine the reliability of the evaluations. The average similarity index between experts was 0.58 to 0.83, indicating a reasonable level of agreement in their assessments. This shows our evaluation method can produce fairly consistent results, even when different experts are involved. The relatively high level of agreement is notable considering each expert brings their perspectives and opinions in analyzing literature reviews. By providing concrete questions, criteria, and evaluation methods, we aimed to guide the experts toward more uniform evaluations. In summary, we developed and tested a new approach for evaluating and validating systematic literature reviews in software engineering. By assessing reliability via interrater agreement, we showed that consistent and reproducible results are possible using our evaluation framework and methodology. Our methods could help researchers gain more insight into what makes for an effective and high-quality literature review.

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Theory for Tunnel Magnetoresistance Oscillation

arXiv

引用

arXiv 2024年

作者： Masuda, Keisuke Scheike, Thomas Sukegawa, Hiroaki Kozuka, Yusuke Mitani, Seiji Miura, Yoshio Tsukuba305-0047 Japan Tsukuba305-0047 Japan Graduate School of Science and Technology University of Tsukuba Tsukuba305-8577 Japan Faculty of Electrical Engineering and Electronics Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto606-8585 Japan Center for Spintronics Research Network Graduate School of Engineering Science Osaka University Toyonaka Osaka560-8531 Japan

The universal oscillation of the tunnel magnetoresistance (TMR) ratio as a function of the insulating barrier thickness in crystalline magnetic tunnel junctions (MTJs) is a long-standing unsolved problem in condensed matter physics. To explain this, we here introduce a superposition of wave functions with opposite spins and different Fermi momenta, based on the fact that spin-flip scattering near the interface provides a hybridization between majority- and minority-spin states. In a typical Fe/MgO/Fe MTJ, we solve the tunneling problem and show that the TMR ratio oscillates with a period of ∼ 3 Å by varying the MgO thickness, consistent with previous and present experimental observations. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnesia

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Bulk superconductivity in Pb-substituted BiS2-based compounds studied by hard x-ray spectroscopy

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Physical Review B 2024年第4期109卷 045131-045131页

作者： A. Yamasaki T. Oguni T. Hayashida K. Miyazaki N. Tanaka K. Nakagawa K. Tamura K. Mimura N. Kawamura H. Fujiwara G. Nozue A. Ose Y. Kanai-Nakata A. Higashiya S. Hamamoto K. Tamasaku M. Yabashi T. Ishikawa S. Imada A. Sekiyama H. Sakata S. Demura Faculty of Science and Engineering Konan University Kobe 658-8501 Japan RIKEN SPring-8 Center Sayo Hyogo 679-5148 Japan Graduate School of Natural Science Konan University Kobe 658-8501 Japan Graduate School of Engineering Osaka Prefecture University Sakai Osaka 599-8531 Japan Graduate School of Engineering Osaka Metropolitan University Sakai Osaka 599-8531 Japan Japan Synchrotron Radiation Research Institute Sayo Hyogo 679-5198 Japan Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan Spintronics Research Network Division Institute for Open and Transdisciplinary Research Initiatives Osaka University Suita Osaka 565-0871 Japan College of Science and Engineering Ritsumeikan University Kusatsu Shiga 525-8577 Japan Faculty of Science and Engineering Setsunan University Neyagawa Osaka 572-8508 Japan Department of Physics Tokyo University of Science Tokyo 162-8601 Japan College of Science and Technology Nihon University Tokyo 101-8308 Japan

In this study, we investigate the bulk electronic structure of Pb-substituted LaO0.5F0.5BiS2 single crystals, using two types of hard x-ray spectroscopy. High-energy-resolution fluorescence-detected x-ray absorption spectroscopy revealed a spectral change at low temperatures. Using density functional theory (DFT) simulations, we find that the temperature-induced change originates from a structural phase transition, similar to the pressure-induced transition in LaO0.5F0.5BiS2. This finding suggests that the mechanism of bulk superconductivity induced by Pb substitution is the same as that under high pressure. Furthermore, a low-valence state with a mixture of divalent and trivalent Bi ions is discovered using hard x-ray photoemission spectroscopy with the aid of DFT calculations.

关键词： Electronic structure Superconductors Density functional theory Polarization-dependent photoemission spectroscopy X-ray absorption near-edge spectroscopy

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The Distributed Intelligent Collaboration to UAV-Assisted VEC: Joint Position Optimization and Task Scheduling

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IEEE Internet of Things Journal 2025年

作者： Yi, Meng Lee, Vincent C.S. Yang, Peng Li, Peisong Zhang, Yifan Wei, Wei Gao, Honghao Southeast University School of Computer Science and Engineering Nanjing211189 China Monash University Faculty of IT Department of DS and AI ClaytonVIC3800 Australia Southeast University School of Computer Science and Engineering the Key Laboratory of Computer Network and Information Integration Ministry of Education Nanjing211189 China Xidian University Hangzhou Institute of Technology Hangzhou311200 China Southeast University-Monash University Joint Graduate School Suzhou215123 China Xi'an University of Technology School of Computer Science and Engineering Xi'an710048 China Shanghai University School of Computer Engineering and Science Shanghai200444 China

Deploying Unmanned Aerial Vehicles (UAVs) as aerial base stations enhances the coverage and performance of communication networks in Vehicular Edge Computing (VEC) scenarios. However, due to the limited communication range and energy capacity of UAVs, they cannot continuously cover entire areas or sustain long flights. Therefore, achieving full communication coverage of a target area with a minimal number of UAVs and efficient task offloading remains a significant challenge. To address this problem, the UAV-assisted Two-stage Intelligent Collaboration (UTIC) method is proposed in this paper to tackle the joint position optimization and task scheduling issue. Firstly, a UAV-assisted Two-stage Task Scheduling (UTTS) system model is designed to optimize the allocation process. Secondly, an Enhanced Particle Swarm Optimization (E-PSO) algorithm is designed to determine the optimal positions of UAVs, ensuring complete coverage of all mobile vehicles (MVs) with the minimum number of UAVs. Thirdly, Deep Deterministic Policy Gradient (DDPG) method is employed to find the optimal scheduling decisions for MVs, considering energy consumption, delay, and task priorities. Simulation results demonstrate that the proposed UTIC method can achieve nearly 20% reduction in UAV deployment and outperform three other classical reinforcement learning (RL) algorithms in terms of reducing system cost. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Effects of a personalized game on students’ outcomes and visual attention during digital citizenship learning

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Cogent Education 2024年第1期11卷

作者： Panjaburee, Patcharin Hwang, Gwo-Jen Intarakamhang, Ungsinun Srisawasdi, Niwat Chaipidech, Pawat Faculty of Education Khon Kaen University Khon Kaen Thailand Graduate Institute of Educational Information and Measurement National Taichung University of Education Taichung City Taiwan Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taipei City Taiwan Yuan Ze University Taoyuan City Taiwan Behavioral Science Research Institute Srinakharinwirot University Bangkok Thailand Digital Education and Learning Engineering Association Nonthaburi Thailand

Previous studies have designed educational methods to cultivate digital citizenship behavior and support the construction of knowledge. However, these methods have not well incorporated personalized feedback mechanisms for enhancing digital citizenship knowledge. Therefore, this study proposed an algorithm that combines concept-effect propagation, fuzzy logic, and decision tree methods to address this drawback and create a personalized, contextual gaming experience. This personalization ensures an engaging and contextually relevant learning experience, addressing learning challenges related to digital citizenship scales. The game was tailored to individual learning experiences and decision-making patterns, with fuzzy logic interpreting nuanced student responses and decision trees guiding learning paths. A digital citizenship knowledge test and an affection questionnaire measured the game’s impact. Moreover, eye tracking was used to ensure attention in the experimental group. Therefore, a quasi-experimental design was conducted to evaluate the influence of a digital citizenship game on 110 students. ANCOVA and the Chi-square tests were performed to analyze students’ knowledge of digital citizenship. Moreover, eye-tracking metrics were used to gain deeper insights into students’ visual attention and engagement. The experimental results reveal that the proposed game enhanced the students’ digital citizenship achievement and promoted their perceptions. Additionally, eye-tracking data showed that the proposed gaming environment positively influenced students’ engagement. Findings indicate that using fuzzy logic and decision trees in educational games significantly promotes affection and alters attention in learning digital citizenship. This study contributes to educational technology by showcasing the potential benefits of personalized educational experiences. The insights gained are valuable for educators and educational game developers focused on digital citizenship ed

关键词： Classroom Practice digital game Education–Social sciences essential skill Michael William Dunn, Washington State University Vancouver, United States Personalized learning Secondary Education student engagement Teaching & learning visual attention

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Room-Temperature Magnetoresistance in Nanojunctions Consisting of C8-BTBT Molecules Sandwiched Between Two Magnetic Thin-Film Edges

Room-Temperature Magnetoresistance in Nanojunctions Consisti...

引用

Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Mizuki Matsuzaka Yuma Sasaki Kyohei Hayashi Takahiro Misawa Takashi Komine Tomoyuki Akutagawa Masaya Fujioka Junji Nishii Hideo Kaiju Faculty of Science and Technology Keio University Yokohama Japan Research Institute for Electronic Science Hokkaido University Sapporo Japan Graduate School of Science and Engineering Ibaraki University Hitachi Japan Institute of Multidisciplinary Research for Advanced Materials Tohoku University Sendai Japan Center for Spintronics Research Network Keio University Yokohama Japan

We fabricate magnetic nanojunctions using Ni 78 Fe 22 (Py) thin-film edges which sandwich the high-mobility molecules, 2,7-dioctyl[1] benzothieno[3,2-b][1]benzothiophene (C8-BTBT) and investigate spin transport properties. As a result, a clear positive magnetoresistance (MR) effect is observed in Py/C8-BTBT/Py nanojunctions at room temperature. In addition, the observed positive MR effect can reveal that the magnetization curves of the thin-film edges are different from those of the thin film measured by magneto-optic Kerr effect spectroscopy. These findings offer a new insight into high-mobility molecular nano-spintronics, leading to the creation of functional spin devices.

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