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IEEE Symposium on Visual Languages

作者： F. Van Reeth E. Flerackers T. D'Hondt Lab. for Appl. Comput. Sci. Limburgs Univ. Centre Diepenbeck Belgium Laboratory for Applied Computer Science Limburg University Center Diepenbeek Belgium Programming Technology Laboratory Free University of Brussels Brussels Belgium

Within the visual programming paradigm there is a vast range of potential for creating program representations. To benefit by these possibilities, it could be worthwhile to make the program representation open-ended, i.e. modifiable to the specific needs of the user. The authors elucidate the tentative result of their research in this field around the iconic programming environment. An initially developed prototype framework is described, followed by a discussion on the current more open-ended system.< >

关键词： programming environments Laboratories Prototypes programming profession Computer languages Tree graphs Debugging Computer science Linear programming Concrete

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Advanced IOT Traffic Light Control System

Advanced IOT Traffic Light Control System

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International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Martin Abou Hamad Antonio El Hajj Roy Abi Zeid Daou Ali Hayek Gaby Abou Haidar Biomedical Technologies Department Faculty of Public Health Lebanese German University Lebanon MART Learning Education and Research Center Lebanon Department of Computer Architecture and System Programming University of Kassel Kassel Germany Engineering Faculty American University of Science and Technology Zahle Lebanon

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy.

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Slippery Lubricant-Infused Silica Nanoparticulate Film Processing for Anti-Biofouling Applications 73

Slippery Lubricant-Infused Silica Nanoparticulate Film Proce...

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73rd International Astronautical Congress, IAC 2022

作者： Sip, Yuen Yee Li Jacobs, Annabel Morales, Alejandra Sun, Mengdi Roberson, Luke B. Hummerick, Mary E. Roy, Herve Kik, Pieter Zhai, Lei Department of Materials Science & Engineering University of Central Florida FL United States Herbert Wertheim College of Engineering University of Florida FL United States Engineering Computer Programming and Technology Division Valencia College FL United States College of Optics and Photonics University of Central Florida FL United States Kennedy Space Center National Aeronautics and Space Administration FL United States Kennedy Space Center Amentum Services FL United States Burnett School of Biomedical Sciences University of Central Florida FL United States Department of Chemistry University of Central Florida FL United States

Microbial biofilm build-up in water distribution systems can pose a risk to human health and pipe material integrity. The impact is more devastating in space stations and to astronauts due to the isolation from necessary replacement parts and medical resources. As a result, there is a need for coatings to be implemented onto the inner region of the pipe to minimize the adherence and growth of biofilms. Lubricant-infused surfaces has been one such interesting material for anti-biofouling applications in which their slippery property promotes repellence to many liquids and thus prevents bacterial adherence. Textured and porous films are suitable substrate candidates to infuse and contain the lubricant. However, there is little investigation in utilizing a nanoporous thin film as the substrate material for lubricant infusion. A nanoporous film has high porosity within the structure which can promote greater lubricant infusion and retention. The implementation as a thin film structure aids to reduce material consumption and cost. In our study, we utilized a well-studied nanoporous thin film fabricated via layer-by-layer assembly of polycations and colloid silica and calcination for greater stability. The film was further functionalized to promote fluorinated groups upon the surface and pores of the film, which then could interact with a fluorinated lubricant. The pristine nanoporous film was characterized to determine its morphology, thickness, wettability, and porosity. The lubricant-infused film was then tested for its lubricant layer stability upon various washing conditions and its performance against bacterial biofilm adherence as a result of its slippery and thus anti-biofouling property. Copyright © 2022 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Silica

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Location–allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach

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Expert Systems with Applications 2024年 238卷

作者： Das, Soumen Kumar Yu, Vincent F. Roy, Sankar Kumar Weber, Gerhard Wilhelm Department of Pure and Applied Sciences Midnapore City College Kuturia West Bengal Bhadutala721129 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University West Bengal Midnapore721102 India Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan Center for Cyber-Physical System Innovation National Taiwan University of Science and Technology Taipei Taiwan Faculty of Engineering Management Poznan University of Technology Poznan Poland IAM METU Ankara Turkey

In recent decades, global climate change has become one of the most critical environmental issues, leading to increased environmental and social concerns about the sustainability of logistics networks. This study proposes a novel multi-objective, multi-facility location–allocation model for a two-stage solid logistics network that supports green practices. To account for uncertainty in real-world problems, some parameters of the model are represented as triangular type-2 neutrosophic numbers to deal with hesitant situations. The fuzzy model is then converted into a deterministic one using a new ranking approach. Three conflicting objective functions – minimizing total financial costs, maximizing customers’ satisfaction levels, and ensuring sustainable and effective conveyances – are simultaneously optimized using the ϵ-constraint approach. The proposed model and solution approach are tested with two numerical examples. A comparative study is also presented, comparing the proposed approach with other Pareto-based multi-objective approaches, such as the global criterion approach, multi-objective fuzzy programming, and weighted Chebychev programming. Finally, the paper concludes with some remarks. © 2023

关键词： Sustainable development

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High performance Boson Sampling simulation via data-flow engines

arXiv

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arXiv 2023年

作者： Morse, Gregory Rybotycki, Tomasz Kaposi, Ágoston Kolarovszki, Zoltán Stojčić, Uroš Kozsik, Tamás Mencer, Oskar Oszmaniec, Michal Zimborás, Zoltán Rakyta, Péter Department of Programming Languages and Compilers Eötvös Loránd University Budapest Hungary AstroCeNT – Particle Astrophysics Science and Technology Centre – International Research Agenda Nicolaus Copernicus Astronomical Center Polish Academy of Sciences Warsaw Poland ACC Cyfronet University of Science and Technology Cracow Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Wigner Research Centre for Physics The Hungarian Academy of Sciences Budapest Hungary A Groq company 16192 Coastal Hwy Lewes United States Center for Theoretical Physics Polish Academy of Sciences Poland NASK National Research Institute ul. Kolska 12 Warszawa01-045 Poland Algorithmiq Ltd Kanavakatu Helsinki3C 00160 Finland Department of Physics of Complex Systems Eötvös Loránd University Budapest Hungary

In this work, we generalize the Balasubramanian-Bax-Franklin-Glynn (BB/FG) permanent formula to account for row multiplicities during the permanent evaluation and reduce the complexity of permanent evaluation in scenarios where such multiplicities occur. This is achieved by incorporating n-ary Gray code ordering of the addends during the evaluation. We implemented the designed algorithm on FPGA-based data-flow engines and utilized the developed accessory to speed up boson sampling simulations up to 40 photons, by drawing samples from a 60 mode interferometer at an averaged rate of ∼ 80 seconds per sample utilizing 4 FPGA chips. We also show that the performance of our BS simulator is in line with the theoretical estimation of Clifford & Clifford [1] providing a way to define a single parameter to characterize the performance of the BS simulator in a portable way. The developed design can be used to simulate both ideal and lossy boson sampling experiments. © 2023, CC BY.

关键词： Bosons

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INTELLIGENT MACHINERY CONTROL INTEGRATION

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NAVAL ENGINEERS JOURNAL 1995年第5期107卷 51-57页

作者： FAIRHEAD, DL HALL, CC Since graduating from Cleveland State University in 1965 with a Bachelor of Science degree in Mathematics he has worked for the Navy at Annapolis participating in several different automation efforts ranging from design aids to surface ship bridge control. Mr. Fairhead has completed graduate work in Computer Science at the University of Maryland has a certificate in Computer Programming holds a patent and is a member of the Association for Computing Machinery (ACM). Upon graduation from Morgan State in 1962 Mr. Hall was employed as a physicist at the Naval Surface Warfare Center Carderock Division Annapolis until 1994. During that time period he served as program technical manager for propulsion technology and as senior project scientist for several automation projects including the Automated Ships Bridge project. Mr. Hall also served as a member of the initial Technical Director's Technology Application Team and of the Autonomic Ship Innovation Center Team. Mr. Hall is a member of the American Institute of Physics and Sigma Pi Sigma (National Physics Honor Society).

A growing concern about the shrinking size of the U.S. Navy budget and the pool from which selections will be made to ''man'' U. S. Navy shipboard systems has led to investigations on achieving improvements in affordability and operational effectiveness. One such investigation has resulted in the development of the Standard Monitoring and Control System (SMCS), a modular, open architecture control system which includes the control system components for propulsion, electric plant, auxiliaries, and damage control. The first major technology upgrade to SMCS will entail the insertion of Artificial Intelligence (AI) technologies into HM&E monitoring and control applications. The Intelligent Machinery Control Integration Task (IMCI) was established to provide a structural approach for this major technology upgrade. As part of the first phase of IMCI, an identification of intelligent control requirements, an assessment of AI technologies, and a survey of intelligent control applications were performed. This paper lists those HM&E-related shipboard operational requirements from which intelligent machinery control requirements will be identified. Also, there is an initial assessment of AI-related reasoning and the following AI technologies, knowledge-based systems, fuzzy logic, neural nets, and genetic algorithms. The survey provided some insight into applying AI technologies to SMCS shipboard operational requirements.

关键词： Ships

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Hybrid multi-criteria decision-making method with a bipolar fuzzy approach and its applications to economic condition analysis

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Engineering Applications of Artificial Intelligence 2024年 132卷

作者： Jana, Chiranjibe Simic, Vladimir Pal, Madhumangal Sarkar, Biswajit Pamucar, Dragan Tamil Nadu Chennai602105 India Faculty of Transport and Traffic Engineering University of Belgrade VojvodeStepe 305 Belgrade11010 Serbia Yuan Ze University College of Engineering Department of Industrial Engineering and Management Taoyuan City320315 Taiwan Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India Department of Industrial Engineering Yonsei University 50 Yonsei-ro Sinchon-dong Seodaemun-gu Seoul03722 Korea Republic of Center for Global Health Research Saveetha Medical College Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu 600077 India Department of Industrial Engineering and Management National Taipei University of Technology Taipei City 106344 Taiwan Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade Serbia Department of Computer Science and Mathematics Lebanese American University Byblos 1102 2801 Lebanon

The bipolar fuzzy set and interval-valued bipolar fuzzy set efficiently analyse real-world problems where for each input of an object, there has counter information. This study's main objective is to lay a foundation for considering a new approach to the bipolar fuzzy hybrid operators tool applied in a realistic frame that contains uncertainties. In this view, some mixed aggregation operators, namely, the hybrid bipolar fuzzy weighted averaging geometric (H-BFWAG), hybrid bipolar fuzzy order weighted averaging geometric (H-BFOWAG), hybrid interval-valued bipolar fuzzy weighted averaging geometric (H-IVBFWAG), and hybrid interval-valued bipolar fuzzy order weighted averaging geometric (H-IVBFOWAG) operators are generated in bipolar fuzzy environment. A decision making approach is developed to build the multi-criteria decision making model. A numerical example is considered to study the different effects on various Indian economic sectors in the COVID-19 environment. Managerial implications are highlighted in between many industrial sectors on which the Indian economy depends and the country's gross domestic product depends on their inter-relationship. This study investigates COVID-19's impact on society and the economy in the Indian context. A comparative investigation is introduced with some pre-existing operators and the TOPSIS (technique for order of preference by similarity to ideal solution) approach to justify the proposed method. © 2024 Elsevier Ltd

关键词： COVID-19

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Correction to: A new cognitive clock matching phenotypic and epigenetic ages

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Translational psychiatry 2022年第1期12卷 452页

作者： M I Krivonosov E V Kondakova N A Bulanov S A Polevaya C Franceschi M V Ivanchenko M V Vedunova Institute of Biology and Biomedicine Department of Neurotechnology N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. Institute of Biology and Biomedicine Department of Basic and Medical Genetics N. I. Lobachevsky State University Nizhny Novgorod Russia. Faculty of Computer Science School of Data Analysis and Artificial Intelligence HSE University Moscow Russia. Faculty of Social Sciences Department of Psychophysiology N. I. Lobachevsky State University Nizhny Novgorod Russia. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. Department of Experimental Diagnostic and Specialty Medicine (DIMES) University of Bologna Bologna Italy.

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Symposia lectures

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Journal of Biosciences 1999年第1期24卷 5-31页

作者： F. Parak A. Ostermann G. U. Nienhaus Nobuo Niimura William A. Eaton Stephen J. Hagen Eric R. Henry James Hofrichter Gouri Jas Lisa Lapidus Victor Muñoz Chih-chen Wang Abani Bhuyan Javant Udgaonkar Heinz Rüterians Derek N. Woolfson M. D. Finucane J. H. Lees M. J. Pandya G. Spooner M. Tuna Wilma K. Olson K. V. R. Chary E. Westhof I. G. Wool C. C. Correll V. I. Ivanov S. A. Bondarenko E. M. Zdobnov A. D. Beniaminov E. E. Minyat N. B. Ulyanov Dale B. Wigley Nobuo Shimamoto Takashi Kinebuchi Hiroyuki Kabata Osamu Kurosawa Masao Washizu Barbara Baird David Holowka H. Belrhali P. Nollert A. Royant J. P. Rosenbusch E. M. Landau E. Pebav-Peyroula Anil K. Lala Patrick R. D’Silva Daniela Pietrobon Paolo Pinton Paulo Magalhaes Anna Chiesa Marisa Brini Tullio Pozzan Rosario Rizzuto M. Montai Shu-Rong Wang José L. Carrascosa B. Bhattacharyya Ian A. Wilson Dinakar M. Salunke Kurt Drickamer Anne Imberty A. Surolia Louise N. Johnson Michal Neeman S. M. Prince K. McLuskey R. J. Cogdell K. McAuley N. W. Isaacs G. Venturoli F. Drepper J. C. Williams J. P. Allen X. Lin P. Mathis R. van Grondelle Wolfgang Junge T. Tsukihara K. Shinzawa-Itoh R. Nakashima E. Yamashita M. J. Fei N. Inoue T. Tomizaki C. Peters Libeu S. Yoshikawa Patrick Chaussepied Keiichi Namba Marie-France Carlier Fariza Ressacl Valerie Laurent Thomas Loisel Coumaran Egile Philippe Sansonetti Dominique Pantaloni Manju Bansal E. W. Knapp M. G. Ullmann A. Amadei B. L. de Groot M. A. Ceruso M. Paci H. J. C. Berendsen A. Di Nola V. Di Francesco P. J. Munson J. Garnier Sung-Hou Kim Jean-Michel Claverie Ian C. P. Smith P. T. Callaghan Bruce Cornell Ratna S. Phadke Kazuhiko Kinosita D. Goldfarb I. Qromov C. Shutter I. Pecht P. Manikandan R. Carmieli T. Shane David S. Moss Clare E. Sansom Jeremy K. Cockcroft Ian J. Tickle Huub C. P. Driessen J. Raul Grigera Ramen K. Poddar Charles R. Cantor Barry Robson Jean Garnier John Helliwell Sunney I. Chan Ronald Rock Physik-Department El7 Technische Universität München Garching Abteilung Biophysik Universität Ulm Ulm Advanced Science Research Center Japan Atomic Energy Research Institute Japan Laboratory of Chemical Physics NIDDK National Institutes of Health Bethesda USA National Lab of Biomacromolecules Institute of Biophysics Beijing China National Centre for Biological Sciences Bangalore Institute of Biophysical Chemistry University of Frankfurt Frankfurt/Main Germany Centre for Biomolecular Design and Drug Development University of Sussex UK Rutgers University Piscataway USA Department of Chemical Sciences Tata Institute of Fundamental Research Mumbai India IBMC-CNRS Strasbourg France Department of Biochemistry and Molecular Biology The University of Chicago Chicago USA Engelhardt Institute of Molecular Biology RAS Moscow Russia Sir William Dunn School of Pathology University of Oxford Oxford UK Structural Biology Center National Institute of Genetics Japan Faculty of Engineering Kyoto University Kyoto Advance Co. Tokyo Japan Department of Chemistry and Chemical Biology Cornell University Ithaca Institute de Biologie Structurale Joseph Fourier Grenoble Cedex 1 France Biomembrane Lab Department of Chemistry and Biotechnology CenterIndian Institute of Technology Bombay Powai Mumbai India Dept of Biomedical Sciences Univ. of Padova Italy Dept. Exp. Diagn. Med. Sect. Gen. Pathol Ferrara Italy Department of Biology University of California San Diego La Jolla USA Chinese Academy of Sciences Institute of Biophysics Beijing China Centra Nacional de Biotecnología CSIC. Campus de la Universidad Autónoma de Madrid Cantoblanco Spain Dept.of Biochemistry Bose Institute Calcutta-54 India The Scripps Research Institute La Jolla National Institute of Immunology New Delhi India Glycobiology Institute Department of Biochemistry University of Oxford Oxford UK Centre de Recherches sur les Macromolécules Végétales-CNRS Grenoble cedex 9 France Molecular Biophysics Uni

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Publisher Correction: Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

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Nature communications 2018年第1期9卷 2162页

作者： Sílvia Bonàs-Guarch Marta Guindo-Martínez Irene Miguel-Escalada Niels Grarup David Sebastian Elias Rodriguez-Fos Friman Sánchez Mercè Planas-Fèlix Paula Cortes-Sánchez Santi González Pascal Timshel Tune H Pers Claire C Morgan Ignasi Moran Goutham Atla Juan R González Montserrat Puiggros Jonathan Martí Ehm A Andersson Carlos Díaz Rosa M Badia Miriam Udler Aaron Leong Varindepal Kaur Jason Flannick Torben Jørgensen Allan Linneberg Marit E Jørgensen Daniel R Witte Cramer Christensen Ivan Brandslund Emil V Appel Robert A Scott Jian'an Luan Claudia Langenberg Nicholas J Wareham Oluf Pedersen Antonio Zorzano Jose C Florez Torben Hansen Jorge Ferrer Josep Maria Mercader David Torrents Barcelona Supercomputing Center (BSC) Joint BSC-CRG-IRB Research Program in Computational Biology 08034 Barcelona Spain. Genomic Programming of Beta-cells Laboratory Institut d'Investigacions August Pi i Sunyer (IDIBAPS) 08036 Barcelona Spain. Instituto de Salud Carlos III Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) 28029 Madrid Spain. Section of Epigenomics and Disease Department of Medicine Imperial College London London W12 0NN UK. The Novo Nordisk Foundation Center for Basic Metabolic Research Section for Metabolic Genetics Faculty of Health and Medical Sciences University of Copenhagen 2100 Copenhagen Denmark. Institute for Research in Biomedicine (IRB Barcelona) The Barcelona Institute of Science and Technology Baldiri Reixac 10-12 08028 Barcelona Spain. Departament de Bioquímica i Biomedicina Molecular Facultat de Biologia Universitat de Barcelona 08028 Barcelona Spain. Computer Sciences Department Barcelona Supercomputing Center (BSC-CNS) 08034 Barcelona Spain. Department of Epidemiology Research Statens Serum Institut 2300 Copenhagen Denmark. Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children's Hospital Boston MA 02116 USA. Medical and Population Genetics Program Broad Institute of MIT and Harvard Cambridge MA 02142 USA. ISGlobal Centre for Research in Environmental Epidemiology (CREAL) 08003 Barcelona Spain. CIBER Epidemiología y Salud Pública (CIBERESP) 28029 Madrid Spain. Universitat Pompeu Fabra (UPF) 08003 Barcelona Spain. Artificial Intelligence Research Institute (IIIA) Spanish Council for Scientific Research (CSIC) 28006 Madrid Spain. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA 02142 USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA 02114 USA. Division of General Internal Medicine Massachusetts General Hospital Bost

In the originally published version of this Article, the affiliation details for Santi González, Jian'an Luan and Claudia Langenberg were inadvertently omitted. Santi González should have been affiliated with 'Barcelona Supercomputing center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, 08034 Barcelona, Spain', and Jian'an Luan and Claudia Langenberg should have been affiliated with 'MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK'. Furthermore, the abstract contained an error in the SNP ID for the rare variant in chromosome Xq23, which was incorrectly given as rs146662057 and should have been rs146662075. These errors have now been corrected in both the PDF and HTML versions of the Article.

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