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arXiv 2019年

作者： Kotek, Tomer Makowsky, Johann A. Institute for Information Systems Vienna University of Technology Vienna1040 Austria Faculty of Computer Science Israel Institute of Technology Haifa 32000 Israel

MSC Codes 05, 05C31, 05-02, 68, 68-02, 68Q17, 68Q25,Longer version of Chapter 25 of the CRC Handbook on the Tutte polynomial and related topics, edited by J. Ellis-Monaghan and I. Moffatt The publication of the Handbook has been delayed and is now scheduled for the first quarter of 2020. The Chapter numbers in the Handbook may have changed. This also may affected the crossreferences to be found in the posted paper. In the version to be published in the Handbook the Sections 5 and 6 are shortened and made into a single section. Copyright © 2019, The Authors. All rights reserved.

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A Systematic review of Multi-Mode Fiber based on Dimensional Code in Optical-CDMA

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Journal of Physics: Conference Series 2021年第1期1860卷

作者： Alaan Ghazi S.A. Aljunid Syed Zulkarnain Syed Idrus C.B.M Rashidi Aras Al-dawoodi Baban A. Mahmood Alaa Fareed Mohammed U. Zaenal Nameer Hashim Qasim Ranjdr M. Rafeeq Faculty of Applied and Human Sciences University Malaysia Perlis Malaysia School of Computer and Communication Engineering University Malaysia Perlis Malaysia Computer Technical Engineering Al-Qalam university College Iraq Computer Science Department College of Computer Science and Information Technology Kirkuk University Kirkuk Iraq School of Computing University Utara Malaysia Malaysia

This paper deals with optical code division multiple access (optical-CDMA) and provides a general analysis of multi-mode fiber (MMF). The purpose of this work is to classify the works in the literature that are related to Optical-CDMA based on MMF and to find the limitation of the researches done in this field. Several challenges that occur in the medium such as multiple-access interference (MAI), pulse dispersion (PD) and nonlinearity in optical fibers deteriorate system performances and become a major performance-limiting factor.

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INTRODUCTION

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Bulletin of the American Meteorological Society 2024年第8期105卷 S1-S11页

作者： Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o

In 2023, La Niña conditions that generally prevailed in the eastern Pacific Ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhouse gases—carbon dioxide, methane, and nitrous oxide—all increased to record-high levels. The annual global average carbon dioxide concentration in the atmosphere rose to 419.3±0.1 ppm, which is 50% greater than the pre-industrial level. The growth from 2022 to 2023 was 2.8 ppm, the fourth highest in the record since the 1960s. The combined short-term effects of El Niño and the long-term effects of increasing levels of heat-trapping gases in the atmosphere contributed to new records for many essential climate variables reported here. The annual global temperature across land and oceans was the highest in records dating as far back as 1850, with the last seven months (June–December) having each been record warm. Over land, the globally averaged temperature was also record high. Dozens of countries reported record or near-record warmth for the year, including China and continental Europe as a whole (warmest on record), India and Russia (second warmest), and Canada (third warmest). Intense and widespread heatwaves were reported around the world. In Vietnam, an all-time national maximum temperature record of 44.2°C was observed at Tuong Duong on 7 May, surpassing the previous record of 43.4°C at Huong Khe on 20 April 2019. In Brazil, the air temperature reached 44.8°C in Araçuaí in Minas Gerais on 20 November, potentially a new national record and 12.8°C above normal. The effect of rising temperatures was apparent in the cryosphere, where snow cover extent by June 2023 was the smallest in the 56-year record for North America and seventh smallest for the Northern Hemisphere overall. Heatwaves contributed to the greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Due to rapid volume loss beginning in 2021, St. A

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Lorentzian geometry and variability reduction in airplane boarding: Slow passengers first outperforms random boarding

arXiv

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arXiv 2020年

作者： Erland, Sveinung Kaupužs, Jevgenijs Steiner, Albert Bachmat, Eitan Department of Maritime Studies Western Norway University of Applied Sciences HaugesundN-5528 Norway Faculty of Materials Science and Applied Chemistry Institute of Technical Physics Riga Technical University RigaLV-1048 Latvia Institute of Mathematical Sciences and Information Technologies University of Liepaja LiepajaLV-3401 Latvia Institute of Data Analysis and Process Design Zurich University of Applied Sciences ZHAW Winterthur8401 Switzerland Department of Computer Science Ben-Gurion University Beer-Sheva84105 Israel

Airlines use different boarding policies to organize the queue of passengers waiting to enter the airplane. We analyze three policies in the many-passenger limit by a geometric representation of the queue position and row designation of each passenger, and apply a Lorentzian metric to calculate the total boarding time. The boarding time is governed by the time each passenger needs to clear the aisle, and the added time is determined by the aisle-clearing time distribution through an effective aisle-clearing time parameter. The non-organized queues under the common random boarding policy are characterized by large effective aisle-clearing time. We show that, subject to a mathematical assumption which we have verified by extensive numerical computations in all realistic cases, the average total boarding time is always reduced when slow passengers are separated from faster passengers and the slow group is allowed to enter the airplane first. This is a universal result that holds for any combination of the three main governing parameters: the ratio between effective aisle-clearing times of the fast and the slow group, the fraction of slow passenger, and the congestion of passengers in the aisle. Separation into groups based on aisle-clearing time allows for more synchronized seating, but the result is non-trivial, as the similar fast-first policy — where the two groups enter the airplane in reverse order — is inferior to random boarding for a range of parameter settings. The asymptotic results conform well with discrete-event simulations with realistic number of passengers, and both the slow-first and the fast-first policies have the ability to perform unboundedly better than random boarding. Parameters based on empirical data, with hand luggage as criteria for separating passengers into the slow group, give a 13% reduction in total boarding time for slow first compared to random boarding. Copyright © 2020, The Authors. All rights reserved.

关键词： Queueing theory

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A considerable level of correlation between SID-monitoring time series and GPS-derived tec observations taken during development of a massive ionospheric storm

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URSI Radio science Bulletin 2019年第370期2019卷 27-33页

作者： Mia Filić Renato Filjar Independent Statistical Learning Satellite Navigation and Space Weather Scientist Sesvete Zagreb Croatia University of Ljubljana Faculty of Computer and Information Science Ljubljana Slovenia Zagreb University of Applied Sciences Zagreb Croatia

Space weather, geomagnetic, and ionospheric conditions are the most prominent causes of degradation in the positioning performance of the Global Navigation Satellite System (GNSS), through introduction of ionospheric delay in the GNSS signal. This affects numerous GNSS-based technologies and socio-economic systems and services. Analyses of case studies of GNSS positioning-performance degradation contribute to the characterization of GNSS positioning error, and support error-correction methods and model development. A case study of a rapidly developing ionospheric storm is examined here, with the aim of characterizing the event using a low-cost sudden ionospheric disturbance (SID) monitor observation of lower-ionospheric-level conditions through continuous reception of very-low-frequency (VLF) signal-strength values. Time series of observations, taken in Croatia during the St. Patrick 2015 event of the fast development of the large ionospheric storm, were compared with the time series of the dual-frequency GPS-derived observations of total electron content (TEC), a parameter linearly related to GNSS ionospheric delay. A comparison framework was developed in the open-source R programming framework for statistical computing. Time series of SID and GNSS-based TEC observations were examined for cross-correlation. The research revealed correspondences between the two time series. Although not linear, the correspondences identified may be used as an early warning for potential GNSS positioning-performance deterioration. Furthermore, this may serve as the foundation for understanding the lower-ionosphere contribution to the over-all TEC, and thus to the formation of the GNSS ionospheric delay. Our team intends to explore both research directions in forthcoming studies.

关键词： Time series analysis Global navigation satellite system Monitoring Storms Mathematical model Delays Correlation

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RETRACTED ARTICLE: SmartPharma: Blockchain Enabled Internet of Things for Smart Pharmaceutical Traceability System

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IETE Journal of Research 2023年第11期69卷 XLIV-LVII页

作者： M. Kavitha Margret E. Golden Julie Y. Harold Robinson D. Vijayanandh S. Vimal Seifidine Kadry Ahmed M. El-Sherbeeny Mohammed A. El-Meligy 1 Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore India 2 Department of Computer Science and Engineering Anna University Regional Campus Tirunelveli India 3 School of Information Technology and Engineering Vellore Institute of Technology Vellore India 4 Department of Electrical and Electronics Engineering Hindustan College of Engineering and Technology Coimbatore India 5 Department of Artificial Intelligence and Data Science Ramco Institute of Technology Rajapalayam Tamilnadu India 6 Faculty of Applied Computing and Technology Noroff University College Kristiansand Norway 7 Industrial Engineering Department College of Engineering King Saud University Riyadh11421 Saudi Arabia

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain systems and Industrial Internet of Things”:M. Kavitha Margret, E. Golden Julie, Y. Harold Robinson, D. Vijayanandh, S. Vimal, Seifidine Kadry, Ahmed M. El-Sherbeeny & Mohammed A. El-Meligy (2021) SmartPharma: Blockchain Enabled Internet of Things for Smart Pharmaceutical Traceability System, IETE Journal of Research, DOI: 10.1080/03772063.2021.1994041Following publication, concerns were raised about the peer review and decision-making processes for this special *** an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal's peer review standards and *** the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special *** journal has not confirmed if the authors were aware of this compromised peer review *** journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this *** have been informed in our decision-making by our editorial policies and the COPE *** retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

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IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Computing (Plenary Panel Report-II)

IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive...

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IEEE International Conference on Cognitive Informatics

作者： Witold Kinsner Haibin Zhu George Baciu Guiming Luo Fernando Rubio Jie Sui Runhe Huang Hironori Hiraishi Jun Peng Liang Chen FI2CICC Dept of ECE Univ. of Manitoba Winnipeg Canada FI2CICC Nipissing University ON Canada FI2CICC Dept. of Computing Hong Kong Polytechnic University Hong Kong FI2CICC Software Institute Tsinghua University Beijing China FI2CICC Dept. of Computer Systems &#x0026 Computation Complutense Univ. of Madrid Spain FI2CICC Aberdeen University Aberdeen UK FI2CICC Faculty of Computer and Information Sciences Hosei University Japan Faculty of Engineering Ashikaga University Tochigi Japan FI2CICC School of AI Chongqing Univ. of Science and Technology Chongqing China Dept. of Computer Science Univ. of Northern British Columbia BC Canada

ISBN: (纸本)9781665421201

Cognitive Computing (CC) is a contemporary field of fundamental intelligence theories and general AI technologies triggered by the transdisciplinary development in intelligence, computer, brain, knowledge, cognitive, robotic, and cybernetic sciences for engineering implementations. This paper presents a summary of the plenary panel (Part II) on the theoretical foundations of CI/CC and recent breakthroughs in AI engineering reported in the 20th IEEE International ICCI*CC Conference (ICCI*CC'21). The latest advances in CI and CC towards general AI are presented by twenty-two distinguished panelists. Strategic AI engineering applications in CI, CC, and cognitive systems are elaborated for abstract intelligence, cognitive robots, autonomous systems, intelligent vehicles, and safety-and-mission-critical systems.

关键词： Knowledge engineering Intelligent vehicles Autonomous systems Conferences Cognitive informatics Cognitive robotics Cognitive systems

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The fuzzy TOPSIS applications in the last decade

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Procedia computer science 2019年 159卷 2294-2303页

作者： Krzysztof Palczewski Wojciech Sałabun Department of Artificial Intelligence Methods and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul. Żołnierska 49 71-210 Szczecin Poland

Multi-criteria decision-analysis (MCDA) methods have been widely applied by many researchers in various fields of study. One of the numerous MCDA methods, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under fuzzy environment, namely fuzzy TOPSIS, has been successfully applied in many practical, real-world challenges. This paper provides a short review of fuzzy TOPSIS applications. The research is based on 25 studies conducted in the years 2009 - 2018. Most relevant and most cited papers concerned with fuzzy TOPSIS technique were analyzed and categorized into application areas, such as supply chain, environment, energy sources, business, healthcare. Fuzzy TOPSIS implementations are examined and compared by approaches used, such as fuzzy sets, hesitant fuzzy sets or intuitionistic fuzzy sets, by other methods combined with fuzzy TOPSIS, such as fuzzy Analytic Hierarchic Process (AHP) or enhancements for group decision-making and by a number of alternatives and criteria used. Finally, insights into ongoing trends, most popular approaches, and directions of study concerning the fuzzy TOPSIS method are presented.

关键词： fuzzy TOPSIS review multi-criteria decision-analysis MCDA

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Influence of various normalization methods in PROMETHEE II: an empirical study on the selection of the airport location

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Procedia computer science 2019年 159卷 2051-2060页

Multi-criteria decision-analysis (MCDA) is a popular field of study with implementations in various areas, such as supply chain management, logistics, engineering, health, sustainable development, to name a few. The normalization of the data considered in such challenges (decision matrix) is an essential step of many MCDA methods. Different normalization techniques can influence the results obtained, and hence, generate different final rankings. In this paper, the investigation of normalization effects is conducted in the PROMETHEE II method. Five different normalization methods were used and additionally, the case without normalization was examined. In order to compare the influence of various normalization methods, an empirical study on the selection of the location of the airport was analyzed, with ten alternatives and seven criteria. The outcomes of investigation of normalization effects in regard to the PROMETHEE II method prove that they do have an impact on the final rankings.

关键词： PROMETHEE II normalization multi-criteria decision-analysis MCDA

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Identification of the football teams assessment model using the COMET method

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Procedia computer science 2019年 159卷 2491-2501页

Many people, organizations and managers try to assess the performance of the football teams and seek new improved approaches. Rankings are an unavoidable part of the football world, where high competitiveness and efficiency is a natural factor. One of the techniques to deal with such problems is the use of multi-criteria decision-analysis methods (MCDA), offering an effective approach to not only ranking but also assessing, selecting and sorting given alternatives. In this paper, the Characteristic Objects METhod (COMET) is used in order to create a performance ranking of the top-tier football clubs. The assessment model is identified and compared with the existing benchmark ranking by the Spearman’s rank correlation coefficient.

关键词： COMET Characteristic Objects Method football ranking MCDA multi-criteria decision-analysis

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