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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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GWSkyNet-Multi II: an updated deep learning model for rapid classification of gravitational-wave events

arXiv

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arXiv 2025年

作者： Raza, Nayyer Chan, Man Leong Haggard, Daryl Mahabal, Ashish McIver, Jess Durand, Audrey Larouche, Alexandre Moazen, Hadi Department of Physics McGill University 3600 rue University MontréalQCH3A2T8 Canada Trottier Space Institute at McGill 3550 rue University MontréalQCH3A2A7 Canada Department of Physics and Astronomy University of British Columbia VancouverBCV6T1Z1 Canada Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States Center for Data Driven Discovery California Institute of Technology PasadenaCA91125 United States Department of Computer Science and Software Engineering Université Laval QuébecQCG1V0A6 Canada Canada CIFAR AI Chair Mila MontréalQCH2S3H1 Canada

Multi-messenger observations of gravitational waves and electromagnetic emission from compact object mergers offer unique insights into the structure of neutron stars, the formation of heavy elements, and the expansion rate of the Universe. With the LIGO-Virgo-KAGRA (LVK) gravitational-wave detectors currently in their fourth observing run (O4), it is an exciting time for detecting these mergers. However, assessing whether to follow up a candidate gravitational-wave event given limited telescope time and resources is challenging;the candidate can be a false alert due to detector glitches, or may not have any detectable electromagnetic counterpart even if it is real. GWSkyNet-Multi is a deep learning model developed to facilitate follow-up decisions by providing real-time classification of candidate events, using localization information released in LVK rapid public alerts. Here we introduce GWSkyNet-Multi II, an updated model targeted towards providing more robust and informative predictions during O4 and beyond. Specifically, the model now provides normalized probability scores and associated uncertainties for each of the four corresponding source categories released by the LVK: glitch, binary black hole, neutron star-black hole, and binary neutron star. Informed by explainability studies of the original model, the updated model architecture is also significantly simplified, including replacing input images with intuitive summary values, making it more interpretable. For significant O4 event alerts issued between May 2023 and December 2024, GWSkyNet-Multi II produces a prediction that is consistent with the updated LVK classification for 93% of events. The updated model can be used by the community to help make time-critical follow-up decisions. © 2025, CC BY.

关键词： Neutrons

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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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Harmonia: A high throughput B+tree for GPUs 19

Harmonia: A high throughput B+tree for GPUs

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24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2019

作者： Yan, Zhaofeng Lin, Yuzhe Peng, Lu Zhang, Weihua Software School Fudan University China Shanghai Key Laboratory of Data Science Fudan University China Shanghai Institute of Intelligent Electronics and Systems Shanghai China Division of Electrical and Computer Engineering Louisiana State University United States

ISBN: (纸本)9781450362252

B+tree is one of the most important data structures and has been widely used in different fields. With the increase of concurrent queries and data-scale in storage, designing an eficient B+tree structure has become critical. Due to abundant computation resources, GPUs provide potential opportunities to achieve high query throughput for B+tree. However, prior methods cannot achieve satisfactory performance results due to low resource utilization and poor memory performance. In this paper, we first identify the gaps between B+tree and GPUs. Concurrent B+tree queries involve many global memory accesses and different divergences, which mismatch with GPU features. Based on this observation, we propose Harmonia, a novel B+tree structure to bridge the gap. In Harmonia, a B+tree structure is divided into a key region and a child region. The key region stores the nodes with its keys in a breadth-first order. The child region is organized as a prefix-sum array, which only stores each node's first child index in the key region. Since the prefix-sum child region is small and the children's index can be retrieved through index computations, most of it can be stored in on-chip caches, which can achieve good cache locality. To make it more eficient, Harmonia also includes two optimizations: partially-sorted aggregation and narrowed thread-group traversal, which can mitigate memory and warp divergence and improve resource utilization. Evaluations on a TITAN V GPU show that Harmonia can achieve up to 3.6 billion queries per second, which is about 3.4X faster than that of HB+Tree [39], a recent state-of-the-art GPU solution. © 2019 Association for Computing Machinery.

关键词： Trees (mathematics)

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Configuration control for evolutional software products 6

Configuration control for evolutional software products

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6th International Conference on software engineering, ICSE 1982

作者： Shigo, Osamu Wada, Yoshio Terashima, Yuichi Iwamoto, Kanji Nishimura, Takashi Software Product Engineering Laboratory Nippon Electric Co. Ltd. 4-I-I Miyazaki Miyamae-ku Kawasaki-city213 Japan Data Terminals Division Nippon Electric Co. Ltd. Japan NEC Software Chubu Ltd. Japan Information-Technology Promotion Agency Japan

This paper describes the concept of and a system for configuration control for evolutional software products, in which a wide spectrum of varied software products are being continuously evolved, along with rapid advancements in hardware technologies. The system contains a database for dealing with the overall configuration structure, including hierarchical product structure with change status, master file directories, difficulty occurrences and user information. The data representing the configuration can be in more abstract or macroscopic level than the traditional software configuration control, since the configuration manager should control the overall outlines for all software products. The concept and system described in the paper have been used for intelligent terminal software product management in NEC's data Terminals division. © 1982 IEEE.

关键词： Information management

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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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Extending satellite lifetimes in geosynchronous orbit with servicing

Extending satellite lifetimes in geosynchronous orbit with s...

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AIAA SPACE Conference and Exposition 2011

作者： Cohen, Nicholas C. Richardson, Gregory G. Martinelli, Scott K. Betser, Joseph The Aerospace Corporation Engineering Data Analysis and Integration Department Acquisition Analysis and Planning Subdivision Systems Engineering Division El Segundo CA 90245 United States The Aerospace Corporation Space Architecture Engineering and Cost Department Acquisition Analysis and Planning Subdivision Systems Engineering Division El Segundo CA 90245 United States The Aerospace Corporation Space Architecture Department Architecture and Design Subdivision Systems Engineering Division El Segundo CA 90245 United States The Aerospace Corporation Computers and Software Division El Segundo CA 90245 United States

ISBN: (纸本)9781600869532

This paper studies the potential demand for on-orbit satellite servicing in geosynchronous orbit (GEO). This paper assumes that the capability to perform on-orbit servicing in GEO exists and that operational vehicles could consider servicing alternatives as vehicles approach their end of operational life. Using a database of spacecraft anomalies maintained by The Aerospace Corporation, cases of GEO satellites launched since 1990 that are no longer operational are identified. The end of life may be due to unexpected failure or due to planned depletion of consumables. Each mission is evaluated to determine whether a servicing mission might have extended the useable lifetime of the spacecraft. Several degrees of servicing are determined to address different ways a satellite's operational life ends. An evaluation summary is presented to show the need for different types of servicing, and specific cases of non-operational satellites demonstrate the different servicing needs. By studying launches over a period of 20 years, 86 spacecraft were identified which could benefit from servicing. Relocation and refueling missions are the simplest servicing missions to implement in the near-term, and also represent categories with the largest demand. Repair missions, particularly internal repair, likely present a much more difficult category. © 2011 by The Aerospace Corporation. Published by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Satellites

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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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