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2011 International Conference on Electrical engineering and Informatics, ICEEI 2011

作者： Indrawan, G. Sitohang, B. Akbar, S. Data and Software Engineering Research Division School of Electrical Engineering and Informatics ITB Jl. Ganesha No. 10 Bandung West Java Indonesia

ISBN: (纸本)9781457707520

关键词： Extraction

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Vacancy-Type Defects in HfO2 Layers and Their Role in Amorphous-to-Crystalline Transition Studied by Monoenergetic Positron Beams

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IEEE Transactions on Semiconductor Manufacturing 2025年

作者： Uedono, Akira Kawakami, Kazuya Kuribara, Tatsunori Hasunuma, Ryu Harashima, Yosuke Shigeta, Yasuteru Ni, Zeyuan Yan, Ruolin Nakamura, Hideo Notake, Akira Moriya, Tsuyoshi Michishio, Koji Ishibashi, Shoji University of Tsukuba Faculty of Pure and Applied Science Tsukuba Ibaraki305-8573 Japan Nara Institute of Science and Technology Graduate School of Science and Technology Ikoma Nara630-0192 Japan Tokyo Electron Technology Solutions Ltd S-Technology Development Center Nirasaki Yamanashi650 Japan Tokyo Electron Technology Solutions Ltd Development Department1 Nirasaki Yamanashi407-0192 Japan Tokyo Electron Ltd Digital Design Center Sapporo Hokkaido060-0003 Japan Tokyo Electron Technology Solutions Ltd Software and Data Engineering Division Nirasaki Yamanashi407-0192 Japan National Institute of Advanced Industrial Science and Technology Research Institute for Measurement and Analytical Instrumentation Tsukuba Ibaraki305-8568 Japan National Institute of Advanced Industrial Science and Technology Research Center for Computational Design of Advanced Functional Materials Tsukuba Ibaraki305-8568 Japan

The annealing properties of vacancies in HfO2 layers deposited on Si substrates and their role in amorphous-to-crystalline transition were studied with monoenergetic positron beams. HfO2 layers with a thickness of 4.30 nm were fabricated by the atomic layer deposition technique. The major vacancytype defects in these layers were identified as a Hf vacancy (VHf) coupled with multiple oxygen vacancies (VOs) and larger vacancy clusters. After annealing at 500°C, the concentration of vacancy clusters started to increase, which was attributed to the agglomeration of intrinsic open spaces in the amorphous phase upon the phase transition from amorphous to monoclinic crystalline phases. The amorphous-crystalline transition started near the interface between the HfO2 layer and bottom electrodes (TiN). After the crystallization, the concentration of vacancy clusters decreased as the annealing temperature increased. © 2025 IEEE.

关键词： Hafnium oxides

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Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

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arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

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On analyzing of fingerprint direct-access strategies

On analyzing of fingerprint direct-access strategies

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International Conference on data and software engineering (ICODSE)

作者： G. Indrawan S. Akbar B. Sitohang Data & Software Engineering Research Division Bandung Institute of Technology Bandung Indonesia

This paper analyzed several aspect of publicly available fingerprint direct-access strategies over three public data sets, including their advantages and drawbacks, related works, and accuracy performance comparison on the graph of error rate and penetration rate. On recent research, smaller penetration rate at certain error rate (smaller area under curve) could be obtained by certain strategy. Penetration rate equal to 5% could be produced at error rate equal to 4%, 10%, and 1% on FVC2000 DB2A, FVC2000 DB3A, and FVC2002 DB1A, respectively. Through this analysis, hopely it could be used as a foundation for better future developments over new strategies or future improvements over existing strategies in area of fingerprint identification, especially to obtain more accurate result with smaller area under curve and achieved with faster search time.

关键词： Fingerprint recognition Erbium Accuracy Indexing Fingers Head

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Parallel processing for Fingerprint feature extraction

Parallel processing for Fingerprint feature extraction

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International Conference on Electrical engineering and Informatics, ICEEI

作者： G. Indrawan B. Sitohang S. Akbar Data & Software Engineering Research Division School of Electrical Engineering and Informatics West Java Indonesia

Real time fingerprint identification based on original non-alphanumeric content matching shouldn't compromise with its speed factor. Real production-quality implementation usually equipped with specific machine architecture to optimize this factor. On this research, we focus on achieving higher speed on common machine with respect to fingerprint accuracy factor. We explore the possibility to optimize execution time of fingerprint minutiae-based feature extraction using parallel process. Hypothetically, in general using parallel process will be faster than using sequential process. Taking advantage of multicore processor technology, optimization of execution time of fingerprint feature extraction is conducted using parallel process by processor cores. We have identified the possibility to implement parallel process on 29 different routines that are executed once or more. We compare result of average execution time of a fingerprint feature extraction using parallel and sequential process on Set B of database 1 of Fingerprint Verification Contest 2000, 2002, and 2004. The experiment confirms the hypothesis and gives consistent result, i.e. faster about 57%, 55%, and 60% for each tested database.

关键词： Fingerprint recognition Histograms Parallel processing Feature extraction Smoothing methods Instruction sets Bifurcation

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Integrating mobile agent infrastructures in operational ERP systems 4

Integrating mobile agent infrastructures in operational ERP ...

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4th International Conference on Enterprise Information Systems, ICEIS 2002

作者： Vontas, Apostolos Koutsakas, Philippos Athanasopoulou, Christina Koumpis, Adamantios Hatzaras, Panos Manolopoulos, Yannis Vassilakopoulos, Michael ALTEC S.A. Software Business Unit Research Programmes Division Mich. Kalou 6 ThessalonikiGR - 546 29 Greece Data Engineering Laboratory Department of Informatics Aristotle University of Thessaloniki GR 54006 Greece

ISBN: (纸本)9729805067

In this paper we present our most recent work carried out in the wider context of the IST-ADRENALIN project, to facilitate formation and lifecycle management of networked enterprises. The projects focus is in designing and building an execution "kernel" for mobile agent applications written in Java, using the Aglets platform and integrating it with any existing ERP system. For integrating mobile agent infrastructures in operational ERP systems, we developed a generic model, which we call Mobile Agent Model, and which encompasses two parts concerning the Agent Logic and the Agent Proprietary data, analysed in more detail in this paper. This model is branch independent and builds on the Adrenalin Company concept, where the fractal and the Information supply chain concepts are combined, introducing that every process, activity and resource can be defined with the "triangle" of executor - controller - co-ordinator tasks, supporting characteristics of self-similarity, self-organisation, self-optimisation and dynamic organisational behaviour.

关键词： Fractals

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Review of sequential access method for fingerprint identification

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Telkomnika 2012年第2期10卷 335-342页

作者： Indrawan, G. Sitohang, B. Akbar, S. Data and Software Engineering Research Division School of Electrical Engineering and Informatics Bandung Institute of Technology Jl. Ganesha No. 10 Bandung West Java Indonesia

Real time fingerprint identification is usually equipped with specific computation machine architecture to optimize speed factor. Focusing on achieving better speed performance of fingerprint identification on common computation machine, a disquisition was conducted on sequential access method for fingerprint identification, with its underlying data structure designed to work with parallel processing. Hypothetically, parallel processing based on multi-cores processor technology, can give faster result without reducing accuracy. If multi core processor was detected, simultaneous processes would run on fingerprint matching-pairs to find its similarity score, respectively. Experiment confirms that speed performance of fingerprint identification using sequential access method with parallel processing outperforms the one without parallel processing. For both strategy, even though using parallel processing confirms faster result, experiment shows that searching time O(n) still linearly depends on number of fingerprints in database. Avoiding such searching time trend, hypothetically, need strategy of direct access method utilization. © 2012 Universitas Ahmad Dahlan.

关键词： Palmprint recognition

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Service-oriented infrastructure for flood mapping using optical and SAR satellite data

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International Journal of Digital Earth 2014年第10期7卷 829-845页

作者： N.Kussul A.Shelestov S.Skakun G.Li O.Kussul J.Xie Department of Space Information Technologies and Systems Space Research Institute NASU-NSAUKyivUkraine Departemnt of Information Security Physics and Technology InstituteNational Technical University of Ukraine“Kyiv Polytechnic Institute”KyivUkraine Department of Software Engineering National University of Life and Environmental Sciences of UkraineKyivUkraine Data Technology Division Center of Earth Observation and Digital EarthChinese Academy of SciencesBeijingChina

In this paper,we present the service-oriented infrastructure within the Wide Area Grid project that was carried out within the Working Group on Information Systems and Services of the Committee on Earth Observation *** developed infrastructure integrates services and computational resources of several regional and national Grid systems:Ukrainian Academician Grid(with satellite data processing Grid segment,UASpaceGrid)and Grid system at the Center on Earth Observation and Digital Earth of Chinese Academy of *** study focuses on integrating geo-information services on flood mapping provided by Ukrainian and Chinese entities to benefit from information acquired from multiple *** also describe services for workflow automation and management in Grid environment and provide an example of workflow automation for generating flood maps from optical and synthetic-aperture radar satellite *** also discuss issues of enabling trust for the infrastructure using certificates and reputation-based *** of utilizing the developed infrastructure for operational flood mapping in Ukraine and China are given as well.

关键词： earth observation geoinformatics geospatial data integration image processing remote sensing

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Artificial intelligence for modelling infectious disease epidemics

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Nature 2025年第8051期638卷 623-635页

作者： Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield

Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology. Here we consider the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science. We first outline how recent advances in AI can accelerate breakthroughs in answering key epidemiological questions and we discuss specific AI methods that can be applied to routinely collected infectious disease surveillance data. Second, we elaborate on the social context of AI for infectious disease epidemiology, including issues such as explainability, safety, accountability and ethics. Finally, we summarize some limitations of AI applications in this field and provide recommendations for how infectious disease epidemiology can harness most effectively current and future developments in AI. © Springer Nature Limited 2025.

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ADAPTIVE GRAPH DIFFUSION NETWORKS

arXiv

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arXiv 2020年

作者： Sun, Chuxiong Hu, Jie Gu, Hongming Chen, Jinpeng Yang, Mingchuan Big Data and AI Division China Telecom Research Institute Beijing China School of Software Engineering Beijing University of Posts and Telecommunications Beijing China

Graph Neural Networks (GNNs) have received much attention in the graph deep learning domain. However, recent research empirically and theoretically shows that deep GNNs suffer from overfitting and over-smoothing problems. The usual solutions either cannot solve extensive runtime of deep GNNs or restrict graph convolution in the same feature space. We propose the Adaptive Graph Diffusion Networks (AGDNs) which perform multi-layer generalized graph diffusion in different feature spaces with moderate complexity and runtime. Standard graph diffusion methods combine large and dense powers of the transition matrix with predefined weighting coefficients. Instead, AGDNs combine smaller multi-hop node representations with learnable and generalized weighting coefficients. We propose two scalable mechanisms of weighting coefficients to capture multi-hop information: Hop-wise Attention (HA) and Hop-wise Convolution (HC). We evaluate AGDNs on diverse, challenging Open Graph Benchmark (OGB) datasets with semi-supervised node classification and link prediction tasks. Until the date of submission (Aug 26, 2022), AGDNs achieve top-1 performance on the ogbn-arxiv, ogbn-proteins and ogbl-ddi datasets and top-3 performance on the ogbl-citation2 dataset. On the similar Tesla V100 GPU cards, AGDNs outperform Reversible GNNs (RevGNNs) with 13% complexity and 1% training runtime of RevGNNs on the ogbn-proteins dataset. AGDNs also achieve comparable performance to SEAL with 36% training and 0.2% inference runtime of SEAL on the ogbl-citation2 dataset. Copyright © 2020, The Authors. All rights reserved.

关键词： Graph neural networks

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