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20th International Conference on Applied Cryptography and Network Security (ACNS)

作者： Ying, Jason H. M. Cao, Shuwei Sen Poh, Geong Xu, Jia Lim, Hoon Wei Seagate Technol Singapore Singapore NUS Singtel Cyber Secur R&D Lab Singapore Singapore Trustwave Singapore Singapore

ISBN: (纸本)9783031092343;9783031092336

Private Set Intersection (PSI) enables two parties, each holding a private set to securely compute their intersection without revealing other information. This paper considers settings of secure statistical computations over PSI, where both parties hold sets containing identifiers with one of the parties having an additional positive integer value associated with each of the identifiers in her set. The main objective is to securely compute some desired statistics of the associated values for which its corresponding identifiers occur in the intersection of the two sets. This is achieved without revealing the identifiers of the set intersection. In this paper, we present protocols which enable the secure computations of statistical functions over PSI, which we collectively termed PSI-Stats. Implementations of our constructions are also carried out based on simulated datasets as well as on actual datasets in the business use cases that we defined, in order to demonstrate practicality of our solution. PSI-Stats incurs 5x less monetary cost compared to the current state-of-the-art circuit-based PSI approach due to Pinkas et al. (EUROCRYPT'19). Our solution is more tailored towards business applications where monetary cost is the primary consideration.

关键词： Private set intersection Homomorphic encryption statistical functions

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Application of statistical functions to the numerical modelling of ceramic foam: From characterisation of CT-data via generation of the virtual microstructure to estimation of effective elastic properties

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JOURNAL OF THE EUROPEAN CERAMIC SOCIETY 2021年第11期41卷 5578-5592页

作者： Deshpande, Vinit Vijay Weidenmann, Kay Andre Piat, Romana Univ Appl Sci Darmstadt Dept Math & Nat Sci D-64295 Darmstadt Germany Univ Augsburg Inst Mat Resource Management MRM Univ Str 1 D-86159 Augsburg Germany

This paper illustrates a numerical methodology to quantify and recreate the microstructure of a ceramic foam using statistical functions and physical descriptors (together referred to as microstructure descriptors). The microstructure descriptors were employed to characterize a real foam material obtained from X-ray tomography (CT) scans. The statistical functions were further used to determine an appropriate size of a statistical volume element (SVE) within the foam sample to be further used in numerical determination of effective elastic properties. A ranking method was also developed to reduce the number of realizations of SVEs used in this calculation. Further, a novel reconstruction procedure was developed to synthesize artificial microstructure of the foam material that had the same microstructure descriptors as the real foam sample. Effective elastic properties of these artificial microstructures were determined as well. Comparison of these properties with experimental results showed that the statistical functions can be used to minimize the computational effort required for determining effective elastic properties of real microstructures. Further, the reconstruction methodology generates microstructure that matches the real microstructure not only in terms of its microstructural descriptors but also in terms of the effective elastic material properties.

关键词： Elastic properties Numerical modelling Microstructure characterization Microstructure reconstruction statistical functions

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Using statistical functions and hydro-hydraulic models to develop human vulnerability curves for flash floods: The flash flood of the Taitou catchment (China) in 2016

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INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 2022年第0期73卷 102876-102876页

作者： Liu, Tianxue Wang, Ying Yu, Haiyang Chen, Yu Beijing Normal Univ Fac Geog Sci Key Lab Environm Change Nat Disaster Minist Educ Beijing 100875 Peoples R China Beijing Normal Univ Acad Disaster Reduct & Emergency Management Minist Emergency Management Beijing 100875 Peoples R China Def Ctr Meteorol Disaster Hebei Prov Shijiazhuang 050021 Peoples R China Beijing Normal Univ Jingshi Sci & Technol Bldg B91512 Southern Coll Beijing Peoples R China Beijing Normal Univ Minist Educ Beijing Peoples R China

The number of deaths due to flash floods in China has increased sharply in recent decades. Therefore, a quantitative assessment of loss of life at the potentially affected areas is highly recommendable, which can improve the strategies of disaster risk mitigation and reduction. Numerous papers published to date have focused on human vulnerability to river floods but seldom to flash floods because of the lack of data on loss of life or flood intensity matched with loss of life. This research aims at reconstructing the July 2016 flash flood event by combining hydro-hydraulic models with post-flood surveys to obtain the data of flood intensity and then developing human vulnerability curves for flash floods through statistical functions. The hydrological model HEC-HMS was used to obtain the hydrograph of the July 2016 flash flood, which was evaluated using the flow data obtained from references. Subsequently, the hydraulic model FLO-2D was used to reconstruct the July 2016 flash flood event to obtain the flood characteristics (e.g., water depth, flow velocity, depth-velocity product, and impact force). The evaluation of FLO-2D was carried out using post-flood surveys defining maximum flooded extent and flood depths. Then, statistical functions were used to fit the relationship between the flood characteristics and mortality calculated through post-flood surveys. The results show that the simulated peak discharge (548 m(3)/s) of the July 2016 flash flood for Taitou catchment was close to the estimated peak discharge (540 m(3)/s) by the existing literature. Likewise, the FLO-2D model showed a good performance in reconstructing the flash flood event (FitA = 80.89%, RMSE = 0.21, NSE = 0.89), indicating that the flood characteristics outputting from FLO-2D model can be able to develop the human vulnerability curves for flash floods. Furthermore, four different human vulnerability curves for flash floods were developed, which are all power functions of water depth, flow veloc

关键词： Flash floods Human vulnerability curves statistical functions Hydro-hydraulic models Post-flood surveys

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Performance Evaluation of statistical functions

Performance Evaluation of Statistical Functions

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2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Rodrigues, Andre Silva, Carla Borges, Paulo Silva, Sergio Dutra, Ines INESC TEC Oporto Portugal NLPC Lda Vila Nova De Gaia Portugal CRACS INESC TEC Oporto Portugal Univ Porto P-4100 Oporto Portugal

ISBN: (纸本)9781509018932

statistical data analysis methods are well known for their difficulty in handling large number of instances or large number of parameters. This is most noticeable in the presence of "big data", i.e., of data that are heterogeneous, and come from several sources, which makes their volume increase very rapidly. In this paper, we study popular and well-known statistical functions generally applied to data analysis, and assess their performance using our own implementation (DataIP) 1, MatLab and R. We show that DataIP outperforms MatLab and R by several orders of magnitude and that the design and implementation of these functions need to be rethought to adapt to today's data challenges.

关键词： data analysis statistical functions performance evaluation MatLab R

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Performance Evaluation of statistical functions

Performance Evaluation of Statistical Functions

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IEEE International Conference on Smart City

作者： Andre Rodrigues Carla Silva Paulo Borges Sergio Silva Ines Dutra INESC TEC NLPC Lda. CRACS INESC TEC and University of Porto

ISBN: (纸本)9781509018949

statistical data analysis methods are well known for their difficulty in handling large number of instances or large number of parameters. This is most noticeable in the presence of "big data", i.e., of data that are heterogeneous, and come from several sources, which makes their volume increase very rapidly. In this paper, we study popular and well-known statistical functions generally applied to data analysis, and assess their performance using our own implementation (DataIP), MatLab and R. We show that DataIP outperforms MatLab and R by several orders of magnitude and that the design and implementation of these functions need to be rethought to adapt to today's data challenges.

关键词： Data analysis statistical functions Performance evaluation MatLab R

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Computing statistical functions in Wired Networks

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2013年第4期31卷 731-742页

作者： Sappidi, Rajasekhar Rosenberg, Catherine Girard, Andre Univ Waterloo Waterloo ON N2L 3G1 Canada INRS EMT Montreal PQ Canada

For applications in which a node is interested in a function of the data generated at different sources, in-network computation is a promising approach to improve the network performance. In this paper, we study the problem of computing the first M moments of the data using in-network computation in an arbitrary wired communication network. We are interested in finding a routing and queue management strategy that maximizes the data rate at which the sources could generate new data. We first propose a very simple tractable flow model that computes an upper bound on the maximum data generation rate that could be supported in a given network for a given M. To validate the tightness of this upper bound and to provide a practical feasible solution, we then propose a heuristic strategy involving the generation of multiple trees and effective queue management that achieves data generation rates close to this upper bound. This cross-validates the tightness of the upper bound and the goodness of our heuristic strategy. Finally, using the flow model, we provide engineering insights on what in-network computation can achieve.

关键词： Wired networks in-network computation aggregation statistical functions flow model heuristics

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Surface Texture and Microstructural Characterization of Thin-Walled Ti6Al4V Part Processed Using Laser Powder Bed Fusion Technique: Effect of Build Direction

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JOURNAL OF TESTING AND EVALUATION 2023年第5期51卷 3505-3521页

作者： Kumar, S. Anand Kushwaha, Ajay Shrivastava, Abhishek Nagesha, B. K. Barad, Sanjay Indian Inst Technol Jammu Jagti Dept Mech Engn Addit Mfg Res Lab PO Nagrota NH-44 Jammu 181221 J&K India Gas Turbine Res Estab Bayarappa Layout Suddaguntapalya Post Box 9302 C Bangalore 560093 Karnataka India

Objective: The current research investigates the surface texture and microstructural characterization of thin-walled Ti6Al4V along the build direction processed using laser powder bed fusion (LPBF) technology using an intra-comparison approach. Methodology: The two-dimensional and three-dimensional surface morphology and multi-scale surface roughness analysis of all Ti6Al4V samples were performed using an opto-digital microscope (with extended focus imaging coupled with high dynamic range imaging). Moreover, the scanning electron microscope, microhardness tester, and X-ray diffraction techniques were used to analyze the microstructural and microhardness values. Findings: (1) The lath thickness was relatively thicker in the LPBF-processed Ti6Al4V sample's microstructure at central locations than in the top and bottom locations. (2) The areal surface roughness (Sa), Rk, and Sk values were relatively lower for the middle region than for the bottom and top regions of the thin-walled part, implying nonuniform surface topography along the build direction. (3) The middle region had a higher surface texture and texture amplitude symmetry periodicity than the top and bottom regions along the build direction. Value: Overall, the established methodology employed on the thin-walled Ti6Al4V part processed using LPBF technology enables the selection criteria of a suitable surface finishing process to achieve isotropic finish for practical industrial applications.

关键词： Ti6Al4V thin-walled parts amplitude parameters statistical functions texture amplitude symmetry laser powder bed fusion process

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Three-dimensional numerical reconstruction method for irregular structures of granular geomaterials

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GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES 2018年第4期4卷 327-341页

作者： Ju, Yang Huang, Yaohui Su, Sun Zheng, Jiangtao Xie, Heping Chang, Chun Gao, Feng China Univ Min & Technol State Key Lab Geomech & Deep Underground Engn 1 Univ Ave Xuzhou 221116 Jiangsu Peoples R China China Univ Min & Technol Beijing State Key Lab Coal Resources & Safe Min D11 Xueyuan Rd Beijing 100083 Peoples R China China Univ Min & Technol Sch Mech Elect & Informat Engn D11 Xueyuan Rd Beijing 100083 Peoples R China Shenzhen Univ Inst Deep Earth Sci & Green Energy Shenzhen 518060 Peoples R China

Granular geomaterials are comprised of many geometrically irregular and randomly distributed particles on multi-scales that strongly affect their physical and or mechanical properties. However, providing an accurate representation or characterization of the complex structures of granular geomaterials remains a challenge. In this study, we propose a novel computerized method to numerically represent a three-dimensional (3D) irregular granular structure based on a natural conglomerate sample. To represent the 3D granular structure, the reconstruction algorithm incorporates a two-point probability function along both the principal and diagonal directions, as well as a linear-path function along the principal directions of the model, and a multithread parallel computing algorithm is used to accelerate the 3D reconstruction process of the irregular structures. To validate the accuracy of the proposed algorithm, the characteristics and mechanical properties of the reconstructed 3D granular structure are analyzed and compared with those of the prototype conglomerate sample. This comparison shows that the proposed algorithm improves the reconstruction efficiency of previous algorithms, and the reconstruction model exhibits greater similarity to the natural conglomerate structure than previous reconstruction models. This proposed computational method can also be used to reconstruct other granular structures.

关键词： Numerical reconstruction Granular geomaterials Irregular structures statistical functions Improved computing algorithms Mechanical properties characterization

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Evaluation of using distribution functions for mean field modelling of multiphase steels

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Procedia Manufacturing 2019年 27卷 72-77页

作者： D. Szeliga Y. Chang W. Bleck M. Pietrzyk AGH University of Science and Technology al. Mickiewicza 30 30-075 Kraków Poland RWTH Aachen Intzestrasse 1 52072 Aachen Germany

Selection and development of distribution functions (descriptors) for the complex phase steels is described in the paper. The objective was to design the multiphase microstructure with smooth gradients of microstructural features, which will prevent deterioration of local ductility of dual phase steels during stretch-forming process. Sensitivity analysis of descriptors with respect to microstructural parameters is described. Identification of descriptors based on experimental data was performed. The descriptors of complex phase microstructure were defined in the form of distribution functions.

关键词： High strength steels statistical functions Product properties

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Assessment of the Microelement Distribution among the Structural Components of Coal

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COKE AND CHEMISTRY 2018年第7期61卷 246-253页

作者： Admakin, L. A. Koks I Khimiya Moscow Russia

Methods have been developed for statistical assessment of the distribution of the gross content of microelements among the main components of the coal. Thus, by a process of resolution, a series of concentrations is obtained: in the initial coal -> in the mineral component -> in the organic matter of the coal (I) -> in the organic matter of the coal series, such as humic acids (II) -> in the organic matter of the biochemical series (III). The gross content of a microelement in the initial coal must be regarded as the sum of its concentrations in different components: the concentration in the mineral component due to clastic mineral impurity;the concentration in organic component (I), which is the sum of the concentrations created by organic matter in the coal itself and the infiltration-organic concentration;and the bioorganic concentration, associated with coalification of the biomass (III). The details of these distributions are considered. As an illustration, the gross content of germanium is analyzed to determine the germanium concentrations in the main components of coal from the Pogranichnoe and Irgensk fields of the Zabaikal region.

关键词： microelements statistical functions gross content coal components microelement distribution clastic mineral impurity infiltration-organic concentrations bioorganic concentrations germanium

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