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IEEE International Conference on Web Services (ICWS)

作者： Renjie Zhou Zhenming Jin Jian Wan Jilin Zhang Xingyu Guo Qiang Liu Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education ITMO Joint Institute Hangzhou Dianzi University Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China Dept. of Computer and Information Technology Zhejiang Police College Hangzhou China

The rapid development of the Internet has revo-lutionized our lives, providing us with an array of convenient services. However, this revolution has also led to the problem of data overload. Personalized recommendation services have been widely recognized as an effective solution to this problem by both the industrial and academic communities. Accurate prediction of click-through rate (CTR) is a critical task in personalized recommendation systems since it can improve the user’s shopping experience, ultimately increasing revenue for the platform. To achieve accurate CTR prediction, it is crucial to capture user interests. While several methods for interest modeling exist, challenges related to user interest evolution and user behavior noise need further attention. This paper proposes a novel CTR prediction model named the Evolutionary Interest Representation Network (EIRN), which learns the evolving interest representation of users from their behaviors, profiles, and environmental attributes. In the model, we introduce an advertisement correlation graph decomposition layer and a noise filter layer to enhance and purify the user behavior representation. An interest extraction layer is designed to capture sequential correlations and common characteristics between user behaviors, representing their interests. Additionally, as user interests evolve over time and their importance changes, an attention-based interest evolution layer is designed to track the evolution of user interests. Our proposed method is validated using four public datasets and an industrial dataset, showing its superiority over existing CTR prediction methods.

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Solution of the gardner problem on the lock-in range of phase-locked loop

arXiv

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arXiv 2017年

作者： Kuznetsov, N.V. Leonov, G.A. Yuldashev, M.V. Yuldashev, R.V. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh Viet Nam Faculty of Mathematics and Mechanics Saint-Petersburg State University Dept. of Mathematical Information Technology University of Jyaskyla Institute of Problems of Mechanical Engineering

The lock-in frequency and lock-in range concepts were introduced in 1966 by Floyd Gardner to describe the frequency differences of phase-locked loop based circuit for which the loop can acquire lock within one beat, i.e. without cycle slipping. These concepts became popular among engineering community and were given in various engineering publications. However, rigorous mathematical explanations of these concepts turned out to be a challenging task. Thus, in the 2nd edition of Gardner's well-known work Phaselock Techniques he wrote that "despite its vague reality, lock-in range is a useful concept" and posed the problem "to define exactly any unique lock-in frequency". In this paper an effective solution for Gardner's problem on the definition of the unique lock-in frequency and lock-in range is discussed. The lock-in range and lock-in frequency computation is explained on the example of classical second-order PLL with lead-lag and active proportional-integral filters. The obtained results can also be used for the lockin range computation of such PLL-based circuits as two-phase PLL, two-phase Costas loop, BPSK Costas loop, and optical Costas loop (used in intersatellite communication). Copyright © 2017, The Authors. All rights reserved.

关键词： Phase locked loops

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TARGET SPECIFIC DE NOVO DESIGN OF DRUG CANDIDATE MOLECULES WITH GRAPH TRANSFORMER-BASED GENERATIVE ADVERSARIAL NETWORKS

arXiv

引用

arXiv 2023年

作者： Ünlü, Atabey Çevrim, Elif Sarıgün, Ahmet Yiğit, Melih Gökay Çelikbilek, Hayriye Bayram, Osman Güvenilir, Heval Ataş Koyaş, Altay Kahraman, Deniz Cansen Olğaç, Abdurrahman Rifaioğlu, Ahmet Banoğlu, Erden Doğan, Tunca Biological Data Science Lab Dept. of Computer Engineering Hacettepe University Turkey Dept. of Bioinformatics Graduate School of Health Sciences Hacettepe University Turkey Dept. of Chemistry Middle East Technical University Turkey Dept. of Physics Middle East Technical University Turkey Dept. of Computer Engineering Middle East Technical University Turkey Dept. Of Artificial Intelligence Engineering Bahcesehir University Turkey Cancer Systems Biology Lab Graduate School of Informatics Middle East Technical University Turkey Dept. of Pharmaceutical Chemistry Faculty of Pharmacy Gazi University Turkey Laboratory of Molecular Modeling Evias Pharmaceutical R&D Ltd Turkey Dept. of Electrical and Electronics Engineering Iskenderun Technical University Turkey Institute for Computational Biomedicine Heidelberg University Germany

Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. Generative deep learning models, which create synthetic data given a probability distribution, offer a high potential for designing de novo molecules. However, for them to be useful in real-life drug development pipelines, these models should be able to design drug-like and target-centric molecules. In this study, we propose an end-to-end generative system, DrugGEN, for the de novo design of drug candidate molecules that interact with intended target proteins. The proposed method represents molecules as graphs and processes them via a generative adversarial network comprising graph transformer layers. The system is trained using a large dataset of drug-like compounds and target-specific bioactive molecules to design effective inhibitory molecules against the AKT1 protein, which is critically important in developing treatments for various types of cancer. We conducted molecular docking and dynamics to assess the target-centric generation performance of the model, as well as attention score visualisation to examine model interpretability. Results indicate that our de novo molecules have a high potential for interacting with the AKT1 protein at the level of its native ligands. Using the open-access DrugGEN codebase, it is possible to easily train models for other druggable proteins, given a dataset of experimentally known bioactive molecules. © 2023, CC BY-NC-SA.

关键词： Generative adversarial networks

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

引用

simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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Risk Management using Cyber-Threat Information Sharing and Cyber-Insurance

SSRN

引用

SSRN 2019年

作者： Tosh, Deepak K. Shetty, Sachin Sengupta, Shamik Kesan, Jay P. Kamhoua, Charles A. Dept. of Computer Science Norfolk State University VA United States Virginia Modeling Analysis and Simulation Center Old Dominion University VA United States Dept. of Computer Science and Engineering University of Nevada RenoNV United States College of Law University of Illinois Urbana ChampaignIL United States Cyber Assurance Branch Air Force Research Laboratory RomeNY United States

Critical infrastructure systems spanning from transportation to nuclear operations are vulnerable to cyber attacks. Cyber-insurance and cyber-threat information sharing are two prominent mechanisms to defend cybersecurity issues proactively. However, standardization and realization of these choices have many bottlenecks. In this paper, we discuss the benefits and importance of cybersecurity information sharing and cyber-insurance in the current cyber-warfare situation. We model a standard game theoretic participation model for cybersecurity information exchange (CYBEX) and discuss the applicability of economic tools in addressing important issues related to CYBEX and cyber-insurance. We also pose several open research challenges, which need to be addressed for developing a robust cyber-risk management capability. © 2019, The Authors. All rights reserved.

关键词： Cybersecurity

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The DEVStone Metric: Performance Analysis of DEVS simulation Engines

arXiv

引用

arXiv 2023年

作者： Cárdenas, Román Henares, Kevin Arroba, Patricia Risco-Martín, José L. Wainer, Gabriel A. Integrated Systems Laboratory Universidad Politécnica de Madrid Madrid Spain Dept. of Systems and Computer Engineering Carleton University OttawaON Canada Dpt. of Computer Architecture and Automation Universidad Complutense de Madrid Madrid Spain Center for Computational Simulation Universidad Politécnica de Madrid Madrid Spain

The DEVStone benchmark allows us to evaluate the performance of discrete-event simulators based on the DEVS formalism. It provides model sets with different characteristics, enabling the analysis of specific issues of simulation engines. However, this heterogeneity hinders the comparison of the results among studies, as the results obtained on each research work depend on the chosen subset of DEVStone models. We define the DEVStone metric based on the DEVStone synthetic benchmark and provide a mechanism for specifying objective ratings for DEVS-based simulators. This metric corresponds to the average number of times that a simulator can execute a selection of 12 DEVStone models in one minute. The variety of the chosen models ensures we measure different particularities provided by DEVStone. The proposed metric allows us to compare various simulators and to assess the impact of new features on their performance. We use the DEVStone metric to compare some popular DEVS-based simulators. © 2023, CC BY-SA.

关键词： Discrete event simulation

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Tracking Nanostructural Evolution in Alloys: Large-Scale Analysis of Atom Probe Tomography Data on Blue Gene/L

Tracking Nanostructural Evolution in Alloys: Large-Scale Ana...

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International Conference on Parallel Processing (ICPP)

作者： Sudip Seal Michael Moody Anna Ceguerra Simon Ringer Krishna Rajan Srinivas Aluru Modeling and Simulation Group Oak Ridge National Laboratory Oak Ridge TN U.S.A. The Australian Key Center for Microscopy and Microanalysis University of Sydney NSW Australia Dept. of Material Sciences and Engineering Iowa State University Ames IA U.S.A. Iowa State University Ames IA U.S.A.

ISBN: (纸本)9781424432134

The advent of Local Electrode Atom Probe (LEAP) tomography is revolutionizing materials science by enabling near atomic scale imaging of materials. Analysis of three-dimensional atom probe tomography (APT) data holds the promise of relating combinatorial arrangement of atoms to material properties and enable better design and synthesis of complex materials. Existing techniques, which are serial and require O(n 2 ) work for n atoms, do not scale to the hundred million large data sets produced by current generation atom probe microscopes. In this paper, we present an O(n) work autocorrelation based technique that reveals clustering of constituent atoms and spatial associations between them. We present an efficient parallelization of this method and show scaling on a 1,024 node Blue Gene/L. To our knowledge, this is the first parallel algorithm for the analysis of APT data, and together with our linear work autocorrelation technique, is demonstrated to easily scale to billion atom data sets expected in the very near future.

关键词： Correlation Program processors Materials Clustering algorithms Probes Arrays Runtime

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Fracture Characteristics of Rare-earth Phosphate under Molten Calcium Magnesium Aluminosilicate Corrosion

arXiv

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arXiv 2024年

作者： Sarkar, Subrato Rahul, Rahul Majee, Bishnu Pada Bryce, Keith Zhang, Lucy Huang, Liping Lian, Jie De, Suvranu Dept. of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute TroyNY United States Center for Modeling Simulation and Imaging in Medicine Rensselaer Polytechnic Institute TroyNY United States Department of Biomedical Engineering Rensselaer Polytechnic Institute TroyNY United States Department of Material Science and Engineering Rensselaer Polytechnic Institute TroyNY United States FAMU-FSU College of Engineering TallahasseeFL United States

The fracture characteristics of LuPO4 rare-earth phosphate environmental barrier coating (EBC) material under molten calcium-magnesium aluminosilicate (CMAS) corrosion is quantified. EBCs are crucial for protecting SiC-based ceramic matrix composite components in the hot section of gas turbine engines. Recent research has highlighted the potential of rare-earth phosphates as better EBC materials than third-generation rare-earth silicates for CMAS corrosion resistance. However, the fracture of EBCs under CMAS corrosion during service remains a significant concern. This work investigates the fracture behavior of LuPO4 using mesoscale simulation and experiments. The model uses micrographs taken from fabricated EBC samples for mesoscale fracture simulations. The simulation results are compared with experimental fracture toughness data and validated using statistical tests (p4 may exhibit higher fracture resistance than Lu2SiO5 rare-earth silicate under similar CMAS corrosion conditions, offering potential insights for future EBC design and development. © 2024, CC BY.

关键词： Aluminosilicates

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Heat Transfer by Jet Cooler/Bubbler/Die Insert

SSRN

引用

SSRN 2023年

作者： Bohacek, Jan Mraz, Krystof Krutis, Vladimir Kana, Vaclav Karimi-Sibaki, Ebrahim Vakhrushev, Alexander Kharicha, Abdellah Heat Transfer and Fluid Flow Laboratory Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 Brno616 69 Czech Republic Department of Foundry Engineering Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 Brno616 69 Czech Republic Christian-Doppler Laboratory for Metallurgical Applications of Magnetohydrodynamics Dept. of Metallurgy Montanuniversitaet Leoben Franz-Joseph Strasse 18 Leoben8700 Austria Simulation and Modeling Metallurgical Processes Austria

During the high pressure die casting, the major amount of heat is dissipated through the liquid cooled channels in the die. The jet cooler, also known as the die insert or the bubbler, is one of the most commonly used and thus critical components to realize the cooling. The behavior of the cooling system must be known very well. Nowadays, foundries casting engineered products rely on numerical simulations using commercial software, which needs precise input data. A spatial distribution of the heat transfer coefficient in the jet cooler is only vaguely discussed in literature. In the present work, an analogy with the well-known jet impingement upon a hot flat plate is seen, although should be used with caution. The solver for the inverse heat conduction problem is developed that takes temperature measurements from several thermocouples as an input and returns the desired distribution of the heat transfer coefficient. The robustness, efficiency and accuracy of the model was tested and confirmed with the help of the numerical experiment. Finally, first results obtained from measurements with a real jet cooler are presented. © 2023, The Authors. All rights reserved.

关键词： Die casting

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Panel on future challenges in modeling methodology

Panel on future challenges in modeling methodology

引用

Proceedings of the 2004 Winter simulation Conference

作者： Taylor, Simon J. E. Paul, Ray J. Straßburger, Steffen Lendermann, Peter Reichenthal, Steven W. Turner, Stephen J. Ctr. for Applied Simulation Modeling Dept. of Info. Systems and Computing Brunel University Uxbridge Middx UB8 3PH United Kingdom Fraunhofer Inst. Fact. Oper. A. Department Virtual Development Sandtorstraße 22 39106 Magdeburg Germany Prod. and Logistics Planning Group Singapore Inst. of Mfg. Technology 71 Nanyang Drive Singapore 638075 Singapore Boeing 3370 Miraloma Ave. Anaheim CA 92803 United States Parallel and Distributed Comp. Ctr. School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

This panel paper presents the views of six researchers and practitioners of simulation modeling, Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks;rapid model development and maintenance;legacy modeling approaches;markup languages;virtual interactive process design and simulation;standards;and Grid computing.

关键词： Information analysis

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