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International Conference on Information and Communications technology (ICOIACT)

作者： Evawaty Tanuar Edi Abdurachman Ford Lumban Gaol Lukas School of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia

The following topics are dealt with: learning (artificial intelligence); feature extraction; image classification; convolutional neural nets; pattern classification; support vector machines; medical image processing; ... 详细信息

ISBN: (数字)9781728173566

ISBN: (纸本)9781728173573

关键词： Support vector machines Machine learning algorithms Biometrics (access control) Signal processing algorithms Artificial neural networks Speech recognition Classification algorithms

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Cellucalst enzyme-assisted extraction of Sargassum horneri enhances the immunomodulation by regulating TLR4/MyD88/NF-kB pathway in murine splenocytes with or without Concanavalin A

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Biomedicine and Pharmacotherapy 2024年 181卷 117673-117673页

作者： Yang, Jiwon Kim, Hyo Jin Herath, Kalahe Hewage Iresha Nadeeka Madushani Jee, Youngheun Interdisciplinary Graduate Program in Advanced Convergence Technology & Science Jeju National University Jeju 63243 South Korea Department of Food Bioengineering Jeju National University Jeju 690-756 South Korea Department of Environmental Health Harvard T.H. Chan School of Public Health Harvard University Boston Massachusetts United States Department of Biosystems Engineering Faculty of Agriculture and Plantation Management Wayamba University Gonawila Makandura 60170 Sri Lanka Department of Veterinary Medicine and Veterinary Medical Research Institute Jeju National University Jeju 64243 South Korea

Sargassum horneri (S. horneri) is an edible species of large brown algae inhabiting along the coasts of northeastern Asia. The study focuses on the impact of celluclast enzyme extract of S. hoeneri (SHC) on various immune cell populations in splenocytes including granulocytes, macrophages, dendritic cells, and T lymphocytes. SHC alone increased the population of granulocytes and macrophages and the secretion of M1 macrophage-derived cytokines (TNF-α, IL-22), and M2 macrophage-derived cytokines (IL-4, IL-10). Interestingly, however, SHC suppressed the concanavalin A (Con A)-expanded populations of macrophages, dendritic cells, granulocytes, T and B cells, and Con A-promoted secretion of M1-macrophage derived cytokines (IFN-γ, IL-1β, TNF-α, IL-17, IL-22) and M2-macrophage derived cytokines (IL-4, IL-10, IL-13, TGF-β). SHC further restrained the Th1, Th2, and Th17 cell responses through attenuating the expression of respective transcription factors T-bet, Gata3, and Rorγt. The anti-inflammatory property of SHC is highlighted through its influence on cytokine production, particularly in the NF-κB pathway, and the attenuation of Toll-like receptor (TLR) signaling. The results reveal that SHC acts as both an immunostimulator and an inhibitor of hyperimmune reactions, showcasing its potential therapeutic applications in conditions involving dysregulated immune responses such as autoimmune diseases and inflammatory disorders. This positions SHC as a promising candidate for the development of functional ingredients with diverse applications encompassing the realms of food, pharmaceuticals, and cosmetics. © 2024

关键词： Celluclast Concanavalin A S. horneri Splenocytes

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Extraction of causal and performance result information belong to business segments from securities reports

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Transactions of the Japanese Society for Artificial Intelligence 2019年第5期34卷

作者： Takano, Kaito Sakai, Hiroyuki Kitajima, Ryozo Graduate School of Science and Technology Seikei University Japan Department of Computer and Information Science Faculty of Science and Technology Seikei University Japan

In this research, we propose a method of extracting business segments from securities reports and extracting sentences containing causal and result information concerning business performance for each extracted business segments. For example, our method extracts "In the aluminum rolled products business, shipments of high purity foils for aluminum electrolytic capacitors for industrial equipment and automotive use increased and sales increased." as a sentence containing causal information concerning business performance. Moreover, our method estimates that the sentence belongs to business segment "aluminum". Our method extracts "As a result of this segment sales in this segment were 105,439 million yen, operating profit was 6,697 million yen." as a sentences containing performance result information belong to "aluminum" segment. We evaluated our method and the method of extracting sentences containing causal information attained 69.3% precision and 72.5% recall, and the method of extracting sentences containing performance result information attained 78.8% precision and 91.1% recall. © 2019, Japanese Society for Artificial Intelligence. All rights reserved.

关键词： Electrolytic capacitors

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Evaluation Criteria for Visual Cryptography Schemes via Neural Networks

Evaluation Criteria for Visual Cryptography Schemes via Neur...

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International Conference on Cyberworlds

作者： Yunchao Wang Yunfa Li Xiao-Nan Lu College of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Graduate School of Engineering University of Yamanashi Kofu Japan University of Yamanashi Kofu Japan

ISBN: (数字)9781728164977

ISBN: (纸本)9781728164984

Visual cryptography schemes are developed for image security, where encryption is realized by distributing a secret image into shares and decryption is done only by stacking the shares. Human eyesight is usually used to evaluate the security and performance of visual cryptography schemes. However, objective criteria for visual cryptography schemes are not yet established. In this paper, by the aid of neural networks, we propose two criteria called encryption-inconsistency and decryption-consistency for evaluating the shares and the recovered images, respectively. We also implemented the experiments for two representatives of visual cryptography schemes by applying three popular convolutional neural networks (CNN) to adopt our proposed criteria.

关键词： Visualization Neural networks Stacking Encryption Cryptography Convolutional neural networks

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Periodic linear quadratic integrator control for individual blade pitch angle control of floating offshore wind turbine

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and Systems 2020年第9期140卷 1074-1081页

作者： Jikuya, Ichiro Kondo, Shingo Hara, Naoyuki Faculty of Frontier Engineering Institute of Science and Engineering Kanazawa University Kakuma Kanazawa Ishikawa920-1192 Japan Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University Kakuma Kanazawa Ishikawa920-1192 Japan Graduate School of Engineering Osaka Prefecture University 1-1 Gakuen-cho Naka-ku Sakai Osaka599-8531 Japan

Periodic linear quadratic integrator control is applied to the individual blade pitch angle control of floating offshore turbine to reduce fatigue load as well as to improve power output. A methodology for selecting weighting matrices of optimal control is discussed in detail;in particular, the optimization of the phase parameter in the periodic input weighting matrix results in synchronization with the operating point of blade flapwise bending mode. The proposed method is applied to the NREL 5MWwind turbine model and shows the reduction in blade flapwise bending compared with the averaged linear quadratic integrator. © 2020 The Institute of Electrical Engineers of Japan.

关键词： Fatigue load

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Analysis and Design of Tourism Recommender System for Religious Destinations of Nepal

Analysis and Design of Tourism Recommender System for Religi...

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International Conference on Sustainable Engineering and Creative Computing (ICSECC)

作者： Tan Wenan Deepanjal Shrestha Deepmala Shrestha Bijay Gaudel Seung Ryul Jeong School of Computer Science Nanjing University of Aeronautics and Astronautic Nanjing China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai China School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Business Faculty of Management Studies Pokhara University Pokhara Nepal Graduate School of Business IT Kookmin University Seoul South Korea

ISBN: (纸本)9781728175898

Religious tourism is a special category of tourism that holds a special place in the tourism business of Nepal. This work proposes the analysis and design of religious tourism recommender system for Nepal. The work is built by analyzing the core requirements of tourist and religious tourism destinations through tourist interviews and literature review. An object oriented approach based on Unified Modeling Language (UML) is used as a primary tool combined with literature and other design documents as the secondary source. This work specifically includes interviews of visitors and study of Pashupatinath and Lumbini destination of Nepal. The work identifies concepts, artifacts, functional processes, actors and relational dependencies between them to build use case models, conceptual model, reference model, data models and religious tourism recommender system for Nepal. Tourism products, services, security concerns, real time security management, geo tagged information clusters and religious tourism information content are the primary dimensions of the proposed system. Controlled test are performed with the design components to ensure the correctness and quality of the modules. Requirement verification is based on user input and available literature. The system is first of its kind in Nepalese context and serves in the area of recommendation and tourist safety in religious destinations. This work is important as a knowledge base and in building a comprehensive tourism recommender system for religious destinations of Nepal.

关键词： Object oriented modeling Security management Unified modeling language Tools Data models Real-time systems Interviews

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ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features

ALBFL: A Novel Neural Ranking Model for Software Fault Local...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Yuqing Pan Xi Xiao Guangwu Hu Bin Zhang Qing Li Haitao Zheng School of Information Technology University of International Business and Economics Beijing China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China Peng Cheng Laboratory Shenzhen China School of Computer Science Shenzhen Institute of Information Technology Shenzhen China Southern University of Science and Technology Shenzhen China

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

Automatic fault localization plays a significant role in assisting developers to fix software bugs efficiently. Although existing approaches, e.g., static methods and dynamic ones, have greatly alleviated this problem by analyzing static features in source code and diagnosing dynamic behaviors in software running state respectively, the fault localization accuracy still does not meet user requirements. To improve the fault locating ability with statement granularity, this paper proposes ALBFL, a novel neural ranking model that involves the attention mechanism and the LambdaRank model, which can integrate the static and dynamic features and achieve very high accuracy for identifying software faults. ALBFL first introduces a transformer encoder to learn the semantic features from software source code. Also, it leverages other static statistical features and dynamic features, i.e., eleven Spectrum-Based Fault Localization (SBFL) features, three mutation features, to evaluate software together. Specially, the two types of features are integrated through a self-attention layer, and fed into the LambdaRank model so as to rank a list of possible fault statements. Finally, thorough experiments are conducted on 5 open-source projects with 357 faulty programs in Defects4J. The results show that ALBFL outperforms 11 traditional SBFL methods (by three times) and 2 state-of-the-art approaches (by 13%) on ranking faulty statements in the first position.

关键词： Location awareness Fault diagnosis Semantics Switches Software Space exploration Security

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Efficient spin-orbit torque driven magnetization switching of GdFe using phosphorus-implanted platinum layers

arXiv

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arXiv 2025年

作者： Shintaku, Kazuki Mathew, Arun Jacob Iwamoto, Akihisa Mohammadi, Mojtaba Awano, Hiroyuki Asada, Hironori Fukuma, Yasuhiro Department of Physics and Information Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka820-8502 Japan Memory Engineering Laboratory Toyota Technological Institute Nagoya468-8511 Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University Ube755-8611 Japan Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0196 Japan

The capability of the spin-orbit torque (SOT) generated via phenomena such as the spin Hall effect in heavy metals, in switching the magnetization of an adjacent magnetic material, has been studied extensively over the last decade. The efficiency of SOT generation is commonly quantified in terms of the spin Hall angle θSH. In this work, we demonstrate experimentally that implanting platinum (Pt) with phosphorus (P), resulting in Pt (P) d, where d denotes the implantation dose, increases θSH by a factor of 7, from 0.06 (d = 0) to 0.43 (d = 10 × 1016 ions/cm2). The enhanced θSH along with factors such as perpendicular magnetic anisotropy and resistivity, lead to reduction of the critical current density for switching the perpendicular magnetization of ferrimagnetic rare earth-transition metal alloy Gd26Fe74, by a factor of nearly 27, from 4.0 × 1011 A/m2 (d = 0) to 1.5 × 1010 A/m2 (d = 10 × 1016 ions/cm2). Further, the switching current density at zero thermal fluctuations and thermal stability factor were evaluated and found to be 2.0 × 1010 A/m2 and 61.4 (d = 10 × 1016 ions/cm2), with the latter being sufficiently above the required threshold for commercial memory applications. Our results suggest that Pt (P) could be a strong candidate in realizing efficient SOT driven magnetization switching leading to the development of improved memory and logic devices in the future. Copyright © 2025, The Authors. All rights reserved.

关键词： Iron alloys

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Chern-Protected Flatband Edge State in Metaphotonics

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Physical Review Letters 2025年第22期134卷 223806-223806页

作者： Jianfeng Chen Yidong Zheng Shuihua Yang Andrea Alù Zhi-Yuan Li Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore School of Physics and Optoelectronics South China University of Technology Guangzhou 510640 China Physics Program Graduate Center City University of New York New York New York 10016 USA Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA

Two-dimensional Dirac semimetals feature flatband edge states but a zero Chern number, while Chern insulators support one-way edge states associated with a nonzero Chern number. Here, we demonstrate a two-dimensional photonic crystal combining the response of a semimetal and of a Chern insulator, termed a Chern semimetal. This photonic semimetal is characterized by a nonzero Chern number, simultaneously hosting both a flatband edge state and a one-way edge state. We experimentally realize such a photonic Chern semimetal using a gyromagnetic photonic crystal with programmable magnetic bias, tailoring its second-neighbor coupling within each sublattice. We also verify the ability to control over the light speed while preserving topological protection. Our findings open new avenues toward exploring topological phases and their applications across fermionic and bosonic systems, providing an exciting platform for nanophotonic applications and a playground for topological physics discoveries.

关键词： Nanophotonics

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Development of startup to gaining profit from research product on renewable energy

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AIP Conference Proceedings 2023年第1期2687卷

作者： Aripriharta Adim Firmansah Nandang Mufti Sujito Gwo-Jiun Horng Department of Electrical Engineering Faculty of Engineering Universitas Negeri Malang Indonesia Centre of Advanced Materials for Renewable Energy Malang Indonesia Graduate School Faculty of Engineering Universitas Negeri Malang Indonesia Department of Physics Faculty of Mathematics and Science Universitas Negeri Malang Indonesia Department of Computer Science and Information Engineering Southern Taiwan University of Science and Technology Tainan Taiwan

This paper introduces the strategic efforts of universities in Indonesia in marketing their research results according to government recommendations through startups with digital marketing. Products marketed range from education, equipment, and training services. Preliminary studies aimed at accelerating digital marketing traffic have been carried out in the MATLAB framework. We use the Queen honey bee colony migration (QHBM) method to accurately launch promo coupons so that they can change the tendency of ordinary visitors to become buyers. As a fair comparison, we use a moving average (MA) with the same threshold as QHBM. The simulation results show the fact that QHBM is more accurate than MA. After using the simulation results in real situations, this startup was able to achieve BEP in 6 months with an average monthly turnover of US 2,045. Based on the results of this evaluation, it was found that consumer satisfaction reached 85%, the effectiveness of digital marketing reached the level and consumer trends for renewable energy in the future reached 55%.

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