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arXiv 2021年

作者： Malarz, Krzysztof Agh University of Science and Technology Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland

We determine thresholds pc for random-site percolation on a triangular lattice for all available neighborhoods containing sites from the first to the fifth coordination zones, including their complex combinations. There are 31 distinct neighbourhoods. The dependence of the value of the percolation thresholds pc on the coordination number z are tested against various theoretical predictions. The newly proposed single scalar index ξ = Σizir2i=i (depending on the coordination zone number i, the neighbourhood coordination number z and the square-distance r2to sites in i-th coordination zone from the central site) allows to differentiate among various neighbourhoods and relate pcto ξ. The thresholds roughly follow a power law pc∝ ξ-γwith γ ≈ 0.710(19). © 2021, CC BY.

关键词： Percolation (fluids)

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Building an Italian-Chinese Parallel Corpus for Machine Translation from the Web 20

Building an Italian-Chinese Parallel Corpus for Machine Tran...

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6th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2020

作者： Tse, Rita Mirri, Silvia Tang, Su-Kit Pau, Giovanni Salomoni, Paola School of Applied Sciences - Macao Polytechnic Institute Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence Ministry of Education - Macao China Department of Computer Science and Engineering University of Bologna Bologna Italy Computer Science Department - Ucla Los AngelesCA United States

ISBN: (纸本)9781450375597

In an increasingly globalized world, being able to understand texts in different languages (even more so in different alphabets and charsets) has become a necessity. This can be strategic even while moving and travelling across different countries, characterized by different languages. With this in mind, bilingual corpora become critical resources since they are the basis of every state-of-the-art automatic translation system;moreover, building a parallel corpus is usually a complex and very expensive operation. This paper describes an innovative approach we have defined and adopted to automatically build an Italian-Chinese parallel corpus, with the aim of using it for training an Italian-Chinese Neural Machine Translation. Our main idea is to scrape parallel texts from the Web: we defined a general pipeline, describing each specific step from the selection of the appropriate data sources to the sentence alignment method. A final evaluation was conducted to evaluate the goodness of our approach and its results show that 90% of the sentences were correctly aligned. The corpus we have obtained consists of more than 6,000 sentence pairs (Italian and Chinese), which are the basis for building a Machine Translation system. © 2020 ACM.

关键词： Neural machine translation

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Recent results on central exclusive production with the STAR detector

arXiv

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arXiv 2021年

作者： Sikora, Rafal Faculty of Physics and Applied Computer Science AGH University of Science and Technology 30 Mickiewicza Ave. Kraków30-059 Poland

We present results on the Central Exclusive Production of charged particle pairs h+h− (h = π, K, p), pp → p + h+h− + p, obtained with the STAR experiment at RHIC in proton-proton collisions at a center-of-mass energy of ps = 200 GeV. All final-state particles were reconstructed, including forward-scattered protons detected in the Roman Pot system. As a result, the Double Pomeron Exchange (DPE) events were selected and the non-exclusive backgrounds were efficiently rejected. Differential fiducial cross sections were measured as functions of observables related to the central hadronic final state and to the forward-scattered protons. The measured cross sections were compared to phenomenological model predictions based on the DPE. We also present preliminary results on the measurement of the same physics process at higher collision energy √s = 510 GeV. The data demonstrate features similar to those observed at √s = 200 GeV. Copyright © 2021, The Authors. All rights reserved.

关键词： Stars

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Wounded-quark emission function in asymmetric heavy-ion collisions

Acta Physica Polonica B, Proceedings Supplement

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Acta Physica Polonica B, Proceedings Supplement 2019年第2期12卷 269-274页

作者： Barej, Michal Bzdak, Adam Gutowski, Pawel AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków30-059 Poland

The wounded-nucleon and -quark models are compared using d+Au collisions at sNN = 200 GeV. The shape of the wounded-quark emission function seems to be universal for different centralities, in contrast to the wounded-nucleon emission function. Predictions for dNch/dη distributions for various centrality classes in p+Al, p+Au, d+Au, and 3He+Au collisions are presented and compared to recent PHENIX results. © 2019 Jagellonian University. All rights reserved.

关键词： Heavy ions

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Research on Deep Learning of Convolutional Neural Network for Action Recognition of Intelligent Terminals in the Big Data Environment and its Intelligent Software Application

Research on Deep Learning of Convolutional Neural Network fo...

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IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Jiahan Sun Shengyuan Zhang Jieting Lian Lei Fu Zijie Zhou Yuxin Fan Kai Xu Shenyang Jianzhu University Shenyang China Master of Professional Science in Applied Statistics- Data Science College of Computing and Information Science Cornell University New York America Master of Science in Database Technology School of Professional Studies New York University New York America Master of Science in Computer Software Engineering College of Engineering Northeastern University Boston Massachusetts USA University of Pennsylvania Philadelphia Pennsylvania USA PipeChina Zhejiang Pipeline Network Co. LTD. Hangzhou China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

To enhance the accuracy and reliability of big data network traffic intrusion detection, an innovative detection model based on the two-branch convolution and gated recurrent unit was constructed, and its application effectiveness in the field of software engineering was thoroughly explored. This model first performs preprocessing operations on the original network traffic data, and then imports it as input information into the core architecture system jointly composed of the two-branch convolution and gated recurrent unit. Among them, the two-branch convolution focuses on quickly and accurately extracting the multi-dimensional features of the network traffic data, while the gated recurrent unit emphasizes on modeling and analyzing the long-term correlation patterns in the feature sequence. Through the organic combination of the two, the potential features of the data are deeply mined. Subsequently, the obtained feature output is directly transmitted to the classifier, so as to achieve accurate discrimination of various types of network traffic such as normal traffic, DoS attack traffic, DDoS attack traffic, port scanning traffic, and SQL injection attack traffic. The comparison experiment data shows that for network traffic data from different sources and with diverse patterns, the detection accuracy rate of this model is as high as 84.3%. This result strongly verifies its high efficiency and practicality in the field of big data network traffic intrusion detection, provides a solid technical guarantee foundation for the network security protection link in software engineering, has important theoretical and practical values, and is expected to promote the further development and application expansion of network security technologies.

关键词： Accuracy Convolution Telecommunication traffic Big Data Logic gates Feature extraction Data models Software Convolutional neural networks Software engineering

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Using Event-Based Method to Estimate Cybersecurity Equilibrium

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 455-467页

作者： Zhaofeng Liu Ren Zheng Wenlian Lu Shouhuai Xu the School of Mathematical Sciences Fudan UniversityShanghai 200433China the Artificial Intelligence Laboratory SAIC Motor Corporation LimitedShanghai 200041 SAIC Intelligent Technology(Shanghai)Corporation Limited Shanghai 200433China the School of Mathematical Sciences Fudan Universityand Shanghai Center for Mathematical SciencesFudan Universityand also with Shanghai Key Laboratory for Contemporary Applied MathematicsShanghai 200433China the Department of Computer Science University of Texas at San AntonioSan Antonio TX 78249 USA

Estimating the global state of a networked system is an important problem in many application *** classical approach to tackling this problem is the periodic(observation)method,which is inefficient because it often observes states at a very high *** inefficiency has motivated the idea of event-based method,which leverages the evolution dynamics in question and makes observations only when some rules are triggered(i.e.,only when certain conditions hold).This paper initiates the investigation of using the event-based method to estimate the equilibrium in the new application domain of cybersecurity,where equilibrium is an important metric that has no closed-form *** specifically,the paper presents an event-based method for estimating cybersecurity equilibrium in the preventive and reactive cyber defense dynamics,which has been proven globally *** presented study proves that the estimated equilibrium from our trigger rule i)indeed converges to the equilibrium of the dynamics and ii)is Zeno-free,which assures the usefulness of the event-based *** examples show that the event-based method can reduce 98%of the observation cost incurred by the periodic *** order to use the event-based method in practice,this paper investigates how to bridge the gap between i)the continuous state in the dynamics model,which is dubbed probability-state because it measures the probability that a node is in the secure or compromised state,and ii)the discrete state that is often encountered in practice,dubbed sample-state because it is sampled from some *** bridge may be of independent value because probability-state models have been widely used to approximate exponentially-many discrete state systems.

关键词： Cybersecurity dynamics cybersecurity equilibrium event-based method global state estimation preventive and reactive cyber defense dynamics

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Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance

arXiv

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arXiv 2023年

作者： Choudhury, Jyotishka Ray Saha, Aytijhya Roy, Sarbojit Dutta, Subhajit School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta United States Indian Statistical Institute Kolkata India Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Saudi Arabia Applied Statistics Unit Indian Statistical Institute Kolkata India Department of Mathematics and Statistics Indian Institute of Technology Kanpur India

Classification of high-dimensional low sample size (HDLSS) data poses a challenge in a variety of real-world situations, such as gene expression studies, cancer research, and medical imaging. This article presents the development and analysis of some classifiers that are specifically designed for HDLSS data. These classifiers are free of tuning parameters and are robust, in the sense that they are devoid of any moment conditions of the underlying data distributions. It is shown that they yield perfect classification in the HDLSS asymptotic regime, under some fairly general conditions. The comparative performance of the proposed classifiers is also investigated. Our theoretical results are supported by extensive simulation studies and real data analysis, which demonstrate promising advantages of the proposed classification techniques over several widely recognized methods. © 2023, CC BY.

关键词： Data assimilation

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Expectation-Maximization clustering of states based on crime cases against children

Expectation-Maximization clustering of states based on crime...

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International Conference on Computing and Networking technology (ICCNT)

作者： Lalitha Saroja Thota Isharath Sultana Yerraginnela Shravani Suresh Babu Changalasetty Syed Asif Basha Sreelasya Changalasetty Pulime Satyanarayana Firdouse Banu Department of CSE Shadan Womens College of Engineering and Technology Hyderabad India Department of CSE Sri Indu College of Engineering Hyderabad India College of Computer Science King Khalid University Abha Saudi Arabia Department of CSE Vellore Institute of Technology Vellore India Department of CSE Samskruthi College of Engineering and Technology Hyderabad India Dept of Applied Information System Applied College Khamis Mushaiyt King Khalid University Saudi Arabia

A child is the utmost innocent and vulnerable human being. Yet, children fall easy target to many types of violence, all over the place and each single day. Globally, one billion children face certain form of emotional, physical or sexual crimes each single year. To prevent and address crimes against children, a multifaceted approach combining law enforcement, healthcare workers, educators, researchers and social service providers is necessary. Modern technology and advanced tools are widely in use for criminal investigations from crime data. Although crime data set solely comprises the number of crimes reported in each state for various years, clustering can still be used to group states in India according to the crime cases against children. In this paper, we apply Expectation-Maximization (EM) cluster methodology in WEKA platform to find patterns and trends in child crime rate data and cluster states in India based on crime cases against children which may help to create efficient interventions to stop and deal with crimes against children.

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Annular confinement for electrons on liquid helium

arXiv

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arXiv 2021年

作者： Szafran, Bartlomiej AGH University of Science and Technology Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland

We discuss the annular electron confinement on the liquid helium surface induced by a submerged tubular electrode. For a shallow liquid layer the resulting potential has a minimum off the symmetry axis of the electrode. The ground-state angular momentum transitions that are driven by the external magnetic field can be resolved when the confinement radii in the first and second Rydberg subbands of the vertical quantization are different, e.g., for submersion depth of the tube comparable to its radius. Then, discontinuities in the main microwave absorption line appear with the period that corresponds to the subsequent magnetic flux quanta passing across the area within the ground-state confinement radius. © 2021, CC BY.

关键词： Ground state

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In Situ Formed Bimetal Metal-Organic Frameworks in Polyvinyl Alcohol/Sodium Alginate-Based Conductive Hydrogels Towards Soft Electronics

SSRN

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SSRN 2024年

作者： Li, Jiongru Wei, Huige Cui, Shuaichuan Hou, Hua Zhang, Yifan Zhang, Yingying Xu, Ben Bin El-Bahy, Zeinhom M. Melhi, Saad Sellami, Rahma Guo, Zhanhu Tianjin Key Laboratory of Brine Chemical Engineering and Resource Eco-utilization College of Chemical Engineering and Materials Science Tianjin University of Science and Technology Tianjin300457 China State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun130022 China College of Materials Science and Engineering Taiyuan University of Science and Technology Taiyuan030024 China Tianjin University of Science and Technology China Department of Mechanical and Construction Engineering Northumbria University Newcastle Upon TyneNE1 8ST United Kingdom Department of Chemistry Faculty of Science Al-Azhar University Nasr City Cairo11884 Egypt Department of Computer Science Applied College Northern Border University Rafha91911 Saudi Arabia University of Bisha Saudi Arabia

Zeolitic imidazolate frameworks (ZIFs) have received enormous attention due to unique physi-chemical properties, but are rarely reported for applications in electrically conductive hydrogels (ECHs) arising from low intrinsic conductivity and poor dispersion. Herein, we propose an innovative strategy to prepare highly conductive and mechanically robust ECHs by in situ growing Ni/Co bimetallic ZIFs within the polyvinyl alcohol/sodium alginate dual network. 2-methylimidazole (MeIM) ligands are creatively copolymerized with pyrrole monomers to form Py-co-MeIM conductive fillers and improve the conjugation degree of the polymer chains and thereby increase the conductivity of the hydrogel. Meanwhile, MeIM ligands act as anchor points for the in-situ formation of bimetallic ZIFs by trapping targeted metal ions, effectively avoiding phase-to-phase interfacial resistance and ensuring a uniform distribution in the hydrogel network. Due to the synergism of Ni/Co bimetallic ZIFs, the PZPS hydrogel exhibits a high areal capacitance, promising for flexible energy storage devices. In addition, the hydrogel shows excellent mechanical strength and toughness, a high gauge factor and a pressure sensitivity over an extremely wide stress range when used as flexible wearable strain/pressure sensors. This study provides new insights to incorporating highly conductive and uniformly dispersed ZIFs into hydrogels for flexible wearable electronics. © 2024, The Authors. All rights reserved.

关键词： Hydrogels

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