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Machine learning based prediction of long-term energy consumption and overheating under climate change impacts using urban building energy modeling

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Sustainable Cities and Society 2025年 130卷

作者： Ilkim Canli Akyol Eren Gökberk Halacli Sevval Ucar Orcun Koral Iseri Feyza Yavuz Dilara Guney Fatma Ece Gursoy Ayca Duran Cagla Meral Akgul Sinan Kalkan Ipek Gursel Dino Dept. of Architecture Middle East Technical University Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye ODTÜ-GÜNAM (Center for Solar Energy Research and Applications) Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye Dept. of Computer Engineering Middle East Technical University Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye Architecture and Building Systems ETH Zurich Stefano-Franscini-Platz 18093 Zurich Switzerland Dept. of Civil Engineering Middle East Technical University Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye METU-ROMER (Center for Robotics and Artificial Intelligence) Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye METU-CLIMATE (Climate Change and Sustainable Development Application and Research Center) Universiteler Mah Dumlupinar Bulvari No:1 06800 Ankara Turkiye

In cities, well-informed decisions targeting improved building energy performance under climate change impacts require tools that can make long-term projections and devise effective strategies. Physics-based Urban Building Energy Models (UBEM) can calculate building performance for future years; however, this process is challenging as (i) future weather files are generated only for discrete years, and (ii) physics-based simulations are computationally demanding, hindering the evaluation of a high number of buildings for all future years. Alternatively, machine learning (ML) approaches can offer high-precision estimations at a lower computational cost. In this paper, a UBEM-assisted ML-based approach that predicts residential buildings’ heating energy use and indoor overheating for the current and future years is proposed. A UBEM of a residential district is developed, and simulations are performed using weather files of the current year, 2050, and 2080 to develop training/testing datasets. Multi-layer perceptrons are trained to a very high predictive performance (with an R 2 score of 0.98 and 0.96 for the two output features), with a remarkable speed advantage (∼430 times faster than simulations). Finally, the results of the long-term analysis of three urban-scale retrofit scenarios are presented, which offers insights into the potential use of the proposed ML models.

关键词： Climate change impacts Energy use prediction Facade retrofit Indoor overheating Machine learning Simulation Urban building energy modeling (UBEM)

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Search for a light charged Higgs boson in t → H ^± b decays, with H ^± → cb, in the lepton+jets final state in proton-proton collisions at √s = 13 TeV with the ATLAS detector

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Journal of High Energy Physics 2023年第9期2023卷 4页

作者： Aad, G. Abbott, B. Abbott, D.C. Abed Abud, A. Abeling, K. Abhayasinghe, D.K. Abidi, S.H. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Abusleme Hoffman, A.C. Acharya, B.S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Addepalli, S.V. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A.A. Afik, Y. Agapopoulou, C. Agaras, M.N. Agarwala, J. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J.A. Ahmad, A. Ahmadov, F. Ahmed, W.S. Ai, X. Aielli, G. Aizenberg, I. Akatsuka, S. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Al Khoury, K. Alberghi, G.L. Albert, J. Albicocco, P. Alconada Verzini, M.J. Alderweireldt, S. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M.M. Allport, P.P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M.G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S.P. Amoroso, S. Amos, K.R. Amrouche, C.S. Ananiev, V. Anastopoulos, C. Andari, N. Andeen, T. Anders, J.K. Andrean, S.Y. Andreazza, A. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Anthony, M.T. Antipov, E. Antonelli, M. Antrim, D.J.A. Anulli, F. Aoki, M. Aparisi Pozo, J.A. Aparo, M.A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Arcangeletti, C. Arce, A.T.H. Arena, E. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A.J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z.P. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Asimakopoulou, E.M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R.J. Atkinson, M. Atlay, N.B. Atmani, H. Atmasiddha, P.A. Augsten, K. Auricchio, S. Austrup, V.A. Avner, G. Avolio, G. Ayoub, M.K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Backman, F. Badea, A. Bagnaia, P. Bahrasemani, H. Bailey, A.J. Bailey, V.R. Baines, J.T. Bakalis, C. Baker, O.K. Bakker, P.J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene, E. Balli, F Department of Physics University of Adelaide Adelaide Australia Department of Physics University of Alberta Edmonton AB Canada Department of Physics Ankara University Ankara Turkey Division of Physics TOBB University of Economics and Technology Ankara Turkey LAPP Univ. Savoie Mont Blanc CNRS/IN2P3 Annecy France High Energy Physics Division Argonne National Laboratory Argonne IL United States Department of Physics University of Arizona Tucson AZ United States Department of Physics University of Texas at Arlington Arlington TX United States Physics Department National and Kapodistrian University of Athens Athens Greece Physics Department National Technical University of Athens Zografou Greece Department of Physics University of Texas at Austin Austin TX United States Bahcesehir University Faculty of Engineering and Natural Sciences Istanbul Turkey Istanbul Bilgi University Faculty of Engineering and Natural Sciences Istanbul Turkey Department of Physics Bogazici University Istanbul Turkey Department of Physics Engineering Gaziantep University Gaziantep Turkey Institut de Física d’Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain Institute of High Energy Physics Chinese Academy of Sciences Beijing China Physics Department Tsinghua University Beijing China Department of Physics Nanjing University Nanjing China University of Chinese Academy of Science (UCAS) Beijing China Institute of Physics University of Belgrade Belgrade Serbia Department for Physics and Technology University of Bergen Bergen Norway Physics Division Lawrence Berkeley National Laboratory Berkeley CA United States Institut für Physik Humboldt Universität zu Berlin Berlin Germany Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland School of Physics and Astronomy University of Birmingham Birmingham United Kingdom Facultad de Ciencias y Centro de Investigaciónes Unive

A search for a charged Higgs boson, H ±, produced in top-quark decays, t → H ± b, is presented. The search targets H ± decays into a bottom and a charm quark, H ± → cb. The analysis focuses o... 详细信息

A search for a charged Higgs boson, H ^±, produced in top-quark decays, t → H ^± b, is presented. The search targets H ^± decays into a bottom and a charm quark, H ^± → cb. The analysis focuses on a selection enriched in top-quark pair production, where one top quark decays into a leptonically decaying W boson and a bottom quark, and the other top quark decays into a charged Higgs boson and a bottom quark. This topology leads to a lepton-plus-jets final state, characterised by an isolated electron or muon and at least four jets. The search exploits the high multiplicity of jets containing b-hadrons, and deploys a neural network classifier that uses the kinematic differences between the signal and the background. The search uses a dataset of proton-proton collisions collected at a centre-of-mass energy s = 13 TeV between 2015 and 2018 with the ATLAS detector at CERN’s Large Hadron Collider, amounting to an integrated luminosity of 139 fb⁻¹. Observed (expected) 95% confidence-level upper limits between 0.15% (0.09%) and 0.42% (0.25%) are derived for the product of branching fractions B (t → H ^± b) × B(H ^± → cb) for charged Higgs boson masses between 60 and 160 GeV, assuming the SM production of the top-quark pairs. [Figure not available: see fulltext.]. © 2023, The Author(s).

关键词： Hadron-Hadron Scattering

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Search for high-mass Wγ and Zγ resonances using hadronic W/Z boson decays from 139 fb⁻¹ of pp collisions at √s = 13 TeV with the ATLAS detector

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Journal of High Energy Physics 2023年第7期2023卷 125页

作者： Aad, G. Abbott, B. Abbott, D.C. Abed Abud, A. Abeling, K. Abhayasinghe, D.K. Abidi, S.H. Aboulhorma, A. Abramowicz, H. Abreu, H. Abulaiti, Y. Abusleme Hoffman, A.C. Acharya, B.S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Addepalli, S.V. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A.A. Afik, Y. Agapopoulou, C. Agaras, M.N. Agarwala, J. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J.A. Ahmad, A. Ahmadov, F. Ahmed, W.S. Ai, X. Aielli, G. Aizenberg, I. Akatsuka, S. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Al Khoury, K. Alberghi, G.L. Albert, J. Albicocco, P. Alconada Verzini, M.J. Alderweireldt, S. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M.M. Allport, P.P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M.G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S.P. Amoroso, S. Amos, K.R. Amrouche, C.S. Ananiev, V. Anastopoulos, C. Andari, N. Andeen, T. Anders, J.K. Andrean, S.Y. Andreazza, A. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Anthony, M.T. Antipov, E. Antonelli, M. Antrim, D.J.A. Anulli, F. Aoki, M. Aparisi Pozo, J.A. Aparo, M.A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Arcangeletti, C. Arce, A.T.H. Arena, E. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A.J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z.P. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Asimakopoulou, E.M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R.J. Atkinson, M. Atlay, N.B. Atmani, H. Atmasiddha, P.A. Augsten, K. Auricchio, S. Austrup, V.A. Avner, G. Avolio, G. Ayoub, M.K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Backman, F. Badea, A. Bagnaia, P. Bahrasemani, H. Bailey, A.J. Bailey, V.R. Baines, J.T. Bakalis, C. Baker, O.K. Bakker, P.J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene, E. Balli, F Department of Physics University of Adelaide Adelaide Australia Department of Physics University of Alberta Edmonton AB Canada Department of Physics Ankara University Ankara Turkey Division of Physics TOBB University of Economics and Technology Ankara Turkey LAPP Université Savoie Mont Blanc CNRS/IN2P3 Annecy France High Energy Physics Division Argonne National Laboratory Argonne IL United States Department of Physics University of Arizona Tucson AZ United States Department of Physics University of Texas at Arlington Arlington TX United States Physics Department National and Kapodistrian University of Athens Athens Greece Physics Department National Technical University of Athens Zografou Greece Department of Physics University of Texas at Austin Austin TX United States Bahcesehir University Faculty of Engineering and Natural Sciences Istanbul Turkey Istanbul Bilgi University Faculty of Engineering and Natural Sciences Istanbul Turkey Department of Physics Bogazici University Istanbul Turkey Department of Physics Engineering Gaziantep University Gaziantep Turkey Institut de Física d’Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain Institute of High Energy Physics Chinese Academy of Sciences Beijing China Physics Department Tsinghua University Beijing China Department of Physics Nanjing University Nanjing China University of Chinese Academy of Science (UCAS) Beijing China Institute of Physics University of Belgrade Belgrade Serbia Department for Physics and Technology University of Bergen Bergen Norway Physics Division Lawrence Berkeley National Laboratory Berkeley CA United States Institut für Physik Humboldt Universität zu Berlin Berlin Germany Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland School of Physics and Astronomy University of Birmingham Birmingham United Kingdom Facultad de Ciencias y Centro de Investigaciónes

A search for high-mass charged and neutral bosons decaying to Wγ and Zγ final states is presented in this paper. The analysis uses a data sample of s = 13 TeV proton-proton collisions with an integrated luminosity of 139 fb⁻¹ collected by the ATLAS detector during LHC Run 2 operation. The sensitivity of the search is determined using models of the production and decay of spin-1 charged bosons and spin-0/2 neutral bosons. The range of resonance masses explored extends from 1.0 TeV to 6.8 TeV. At these high resonance masses, it is beneficial to target the hadronic decays of the W and Z bosons because of their large branching fractions. The decay products of the high-momentum W/Z bosons are strongly collimated and boosted-boson tagging techniques are employed to improve the sensitivity. No evidence of a signal above the Standard Model backgrounds is observed, and upper limits on the production cross-sections of these bosons times their branching fractions to Wγ and Zγ are derived for various boson production models. [Figure not available: see fulltext.]. © 2023, The Author(s).

关键词： Hadron-Hadron Scattering

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Sensor data abstraction using flexible layered slope grid

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第2期7卷 109-118页

作者： Jung, Young Jin Jeong, Seon-Phil Shin, Moon Sun Choi, Hyunmi Agency for Defense Development Korea Republic of Division of Technology and Science BNU-HKBU United International College China Dept. of Computer Engineering Konkuk University Korea Republic of Dept. of Advanced Application Environment Development KISTI Korea Republic of

An environmental monitoring application is designed to monitor and track various kinds of environmental phenomena such as water pollution and global warming. By collecting detected sensor data from the sensors installed at a target place, a monitoring system analyzes and predicts an environmental change. For smoothly answering a user query, a data abstraction model is designed to rapidly process an amount of sensor data by employing data filtering, data aggregation, and data summarization. In order to dynamically represent the different layer of sensor data in a region, we design FLSA (Flexible Layered Sensor Data Abstraction), which supports a flexible layer of SGSA (Slope Grid for Sensor Data Abstraction). When the sensor data is transmitted to a server, FLSA make some clusters to shows several layer of sensor data depending on sensor data gradient. Each cell of FLSA hasa set of SGSA to represent each sensor data layer in the cell. This layered SGSA of FLSA is useful to represent a distributed sensor data in a cell. When an abstraction model is used to environmental monitoring, there is a trade-off between faster data processing anddata representation. FLSA focuses on data representation to show detailed condition of a target place. © 2014 SERSC.

关键词： Water pollution

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Erratum to: Search for squarks and gluinos in final states with one isolated lepton, jets, and missing transverse momentum at s = 13 TeV with the ATLAS detector

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The European Physical Journal C 2021年第10期81卷 1-15页

作者： Aad, G. Abbott, B. Abbott, D. C. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmad, A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Akbiyik, M. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, J. K. Andrean, S. Y. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antipov, E. Antonelli, M. Antrim, D.J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aparo, M. A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A.T. H. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z. P. Artoni, G. Asada, H. Asai, K. Asai, S. Asawatavonvanich, T. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Atmasiddha, P. A. Augsten, K. Austrup, V. A. Avolio, G. Ayoub, M. K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bakalis, C. Baker, O. K. Bakker, P. J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E. M. Balek, P. Balli, F. Balunas CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Department of Physics University of Massachusetts Amherst USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham UK Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton UK Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Department of Physics Northern Illinois University DeKalb USA Department of Physics Bogazici University Istanbul Turkey Dept. of Physics Istanbul University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Geneva Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot UK Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz USA IJCLab CNRS/IN2P3 Université Paris-Saclay Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University/Nikhef Nijmegen The Netherlands Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física E

A correction to this paper has been published: 10.1140/epjc/s10052-021-09344-w

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Revealing commonalities concerning maintenance of software product line platform components

Revealing commonalities concerning maintenance of software p...

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3rd and 4th International Conferences on Evaluation of Novel Approaches to Software Engineering, ENASE 2008/2009

作者： Assmann, Martin Engels, Gregor Von Der Massen, Thomas Wübbeke, Andreas Dept. of Computer Science University of Paderborn Warburger Straße 100 33098 Paderborn Germany DC Application Development Arvato Services An der Autobahn Gütersloh 33310 Germany

ISBN: (纸本)3642148182

Software Product Line (SPL) development provides the possibility of reusing common parts in similar software products. However the SPL approach does not centrally improve the maintenance of software products of a Software Product Line. This paper presents an approach for reducing maintenance costs of SPL products by using the concept Software as a Service (SaaS) by revealing exploitable commonalities concerning the maintenance of SPL platform components. This SPL-SaaS approach was developed with the experiences of arvato services integrating the software product line concept since years. It shows up the advantageous and disadvantageous characteristics of platform components that play a role for the concept combination. Main goal is to enable an IT-architect to identify platform components to be adequate for a common maintenance. Therefore criteria for the identification of platform components suitable for the approach are derived from these characteristics. Furthermore the requirements of the potential service users are examined and categorized concerning their effects on the system architecture. Special requirements of customers often lead to architectural constraints that are not compatible with the approach. If both, the criteria are met and the architectural constraints are compatible, the SPL-SaaS approach can be applied to a component. The whole approach is applied on an example of arvato services. © 2010 Springer-Verlag.

关键词： Software as a service (SaaS)

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Identification of software product line component services

Identification of software product line component services

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ENASE 2009 - 4th International Conference on Evaluation of Novel Approaches to Software Engineering

ISBN: (纸本)9789898111982

Software Product Line (SPL) approaches do not centrally improve the maintenance of software products of a SPL. This paper presents an approach for reducing maintenance costs of SPL products by using the concept Software as a Service (SaaS). The SPL-SaaS approach was developed with the experiences of arvato services integrating the SPL concept since years. It shows up the advantageous and disadvantageous characteristics of components that play a role for the concept combination. The main goal is to enable an IT-architect to identify adequate components. Therefore criteria for the identification of software components suitable for the approach are derived from these characteristics. Furthermore the requirements of the potential service users are examined and categorized concerning their effects on the system architecture. Special requirements of customers often lead to architectural constraints that are not compatible with the approach. If both, the criteria are met and the architectural constraints are compatible, the SPL-SaaS approach can be applied to a component. The whole approach is applied on an example of arvato services.

关键词： Software as a service (SaaS)

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A document classification algorithm using the fuzzy set theory and hierarchical structure of document

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International Conference on Computational Science and its applications, ICCSA 2004

作者： Han, Seok-Woo Eun, Hye-Jue Kim, Yong-Sung Kóczy, László T. Dept. of Computer Application and Development Wonkwang Health Science College Iksan561-756 Korea Republic of Dept. of Computer Information College of Engineering Chonbuk National University Chonju561-756 Korea Republic of Dept. of Telecommunication and Telematics Technical University of Budapest BudapestH-1521 Hungary

ISBN: (纸本)3540220542

In present, Information retrieval systems which are simply expressed with combination between keywords and phrase search according to the direct keyword matching method to get the information which users need. But Web documents retrieval systems serve too many documents because of term ambiguity. Also it often happens that words with several meanings occur in a document, but in a rather different context from that expected by the querying person. So the user should need extra time and effort to get more close documents. To overcome these problems, in this paper we propose an information retrieval system based on the content, which connects documents according to the degree of semantic link which it express fuzzy value by fuzzy function. Also we propose an algorithm which it produce the hierarchical structure using the degree of concepts and contents among documents. As result, we are able to select and to provide user-interested documents. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Information retrieval systems

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The application of Web technology to geographic information system

The application of Web technology to geographic information ...

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International Conferences on Info-Tech and Info-Net, ICII 2001

作者： Ye, Qing Xu, Ran-Bin Ma, Xun Liu, Yan-Hong Dept. of Electronics Beijing Normal University Beijing China Computer Application Technology Research Department Research Institute of Petroleum Exploration and Development Beijing China

WebGIS is the application of Web technology to GIS (Geographic Information System). We examine the basic mechanism of implementing a WebGIS. Solutions to some key technical problems are discussed, such as simultaneous... 详细信息

ISBN: (纸本)0780370104

关键词： ActiveX DLL ASP Web GIS

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Mathematical modeling in thermal hazards evaluation

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Process Safety Progress 1982年第1期1卷 27-33页

作者： Michael D. Gordon Gerald J. O'Brien Charles J. Hensler Kalman Marcali Jackson Laboratory Chemicals&Pigments Dept. E.I. du Pont de Nemours&Co. Wilmington Del. 19898 Micheal D. Gordon:who earned a PhD in Physical Chemistry at the University of Illinois is a Senior Chemist in the Technical Computer Section of the Chemicals and Pigments Department. Among his present assignments he is actively engaged in the application of mathematical modeling techniques to thermal hazards analysis. He has developed and teaches a course on this subject within Du Pont. C. J. Hensler:received his Ph.D. from Iowa State University in 1970 and was subsequently employed by Du Pont. Assignments have included supervisory responsibilities in process development plant technical assistance analytical development and development of thermal hazard testing techniques.

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