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14th international conference on computing and Information Technology, IC2IT 2018

14th International Conference on Computing and Information T...

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14th international conference on computing and Information Technology, IC2IT 2018

ISBN: (纸本)9783319936918

the proceedings contain 33 papers. the special focus in this conference is on computing and Information Technology. the topics include: Diabetes classification with fuzzy genetic algorithm;decision fusion using fuzzy dempster-shafer theory;enhanced manhattan-based clustering using fuzzy C-means algorithm;the cooperation of candidate solutions vortex search for numerical function optimization;integrating multi-agent system, geographic information system, and reinforcement learning to simulate and optimize traffic signal control;digital image watermarking based on fuzzy image filter;image watermarking against vintage and retro photo effects;performance analysis of lossless compression algorithms on medical images;Brain wave pattern recognition of two-task imagination by using single-electrode EEG;ARMFEG: Association rule mining by frequency-edge-graph for rare items;isarn dharma handwritten character recognition using neural network and support vector machine;subset sum-based verifiable secret sharing scheme for secure multiparty computation;the semantics loss tracker of firewall rules;cryptanalysis of a multi-factor biometric-based remote authentication scheme;haptic alternatives for mobile device authentication by older technology users;the new modified methodology to solve ECDLP based on brute force attack;generations and level of information on mobile devices usage: An entropy-based study;requirement patterns analysis and design of online social media marketing for promoting eco-tourism in thailand;the empirical discovery of near-optimal offline cache replacement policies for nonuniform objects;organic farming policy effects in northern of thailand: Spatial lag analysis;hybrid filtering approach for linked open data exploration applied to a scholar object linking system;approaching mobile constraint-based recommendation to car parking system;a comparative study on scrum simulations.

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7th international conference on Mathematics and Computation in Music, MCM 2019

7th International Conference on Mathematics and Computation ...

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7th international conference on Mathematics and Computation in Music, MCM 2019

ISBN: (纸本)9783030213916

the proceedings contain 36 papers. the special focus in this conference is on Mathematics and Computation in Music. the topics include: Embedded Structural Modes: Unifying Scale Degrees and Harmonic Functions;Non-Contextual JQZ Transformations;the Hierarchy of Rameau Groups;distant Neighbors and Interscalar Contiguities;constraint-Based systems of Triads and Seventh Chords, and Parsimonious Voice-Leading;Distributional Analysis of n-Dimensional Feature Space for 7-Note Scales in 22-TET;filtration of Pitch-Class Sets Complexes;synesthesizer: Physical Modelling and Machine Learning for a Color-Based Synthesizer in Virtual Reality;mercury®: A Software Based on Fuzzy Clustering for Computer-Assisted Composition;comMute—Towards a Computational Musical theory of Everything;a Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring;reinterpreting and Extending Anatol Vieru’s Periodic Sequences through the Cellular Automata Formalisms;surprisal, Liking, and Musical Affect;autocorrelation of Pitch-Event Vectors in Meter Finding;the Envelopes of Consonant Intervals and Chords in Just Intonation and Equal Temperament;maximally Even Tilings;distributed Vector Representations of Folksong Motifs;visualizing Temperaments: Squaring the Circle?;music Corpus Analysis Using Unwords;maths, Computation and Flamenco: Overview and Challenges;groupoids and Wreath Products of Musical Transformations: A Categorical Approach from poly-Klumpenhouwer Networks;formalization of Voice-Leadings and the Nabla Algorithm;computational Music therapy;insiders’ Choice: Studying Pitch Class Sets through their Discrete Fourier Transformations;have Fun with Math and Music!;teaching Music with Mathematics: A Pilot Study;integrated Music and Math Projects in Secondary Education;“Concerférences”: of Music and Maths, for the Audience’s Delight;fourier Phase and Pitch-Class Sum;categories, Musical Instruments, and Drawings: A Unification Dream.

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international Comparison of Low Impulse Voltage between China and Germany 7

International Comparison of Low Impulse Voltage between Chin...

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7th IEEE international conference on High Voltage Engineering and Application, ICHVE 2020

作者： Long, Zhaozhi Li, Wenting Fan, Jiawei Liu, Shaobo Research Institute of Metrology China Electrical Power Research Institute Wuhan China

ISBN: (纸本)9781728155111

the standard impulse voltage calibrator is the key equipment for impulse voltage traceability, and its accuracy directly affects the measurement accuracy of impulse voltage measurement system. international comparison is best important method to ensure the unification of national quantities. In this paper, the developed standard impulse calibrator is compared with the standard digitizer of the Physikalisch-Technische Bundesanstalt (PTB), the standard calibrator can generate three kinds of full-wave of lightning and full-wave of operation with different time parameters. the measurement error of the output voltage of the calibrator measured by PTB's digitizer is less than (+0.1%) and the measurement error of the time parameter is less than (+0.5%). the digitizer of National Center for High Voltage Measurement (NCHVM) is also calibrated by standard calibrator, and the comparison results are evaluated. From the calculation results, it can be seen that the comparison results are satisfactory, and the measurement level evaluation of the digital recorder of the two laboratories are accurate. © 2020 IEEE.

关键词： Measurement errors

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7th international Symposium on Model-Based Safety and Assessment, IMBSA 2020

7th International Symposium on Model-Based Safety and Assess...

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7th international Symposium on Model-Based Safety and Assessment, IMBSA 2020

ISBN: (纸本)9783030589196

the proceedings contain 15 papers. the special focus in this conference is on Model-Based Safety and Assessment. the topics include: Identification and Quantification of Hazardous Scenarios for Automated Driving;an Integrated Approach to Support the Process-Based Certification of Variant-Intensive systems;SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measures;Model-Based Error Detection for Industrial Automation systems Using LSTM Networks;u-Map: A Reference Map for Safe Handling of Runtime Uncertainties;argument-Driven Safety Engineering of a Generic Infusion Pump with Digital Dependability Identities;Model-Based Risk Analysis for an Open-Source PCA Pump Using AADL Error Modeling;Reliability Evaluation of Reconfigurable NMR Architecture Supported with Hot Standby Spare: Markov Modeling and Formulation;branching Transitions for Semi-Markov Processes with Application to Safety-Critical systems;optimal Scheduling of Preventive Maintenance for Safety Instrumented systems Based on Mixed-Integer Programming;counterexample Interpretation for Contract-Based Design;property-Based Fault Injection: A Novel Approach to Model-Based Fault Injection for Safety Critical systems;failure Mode Reasoning in Model Based Safety Analysis.

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Efficient Implementation of Kyber on Mobile Devices 27

Efficient Implementation of Kyber on Mobile Devices

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27th IEEE international conference on Parallel and Distributed systems, ICPADS 2021

作者： Zhao, Lirui Zhang, Jipeng Huang, Junhao Liu, Zhe Hancke, Gerhard Nanjing University of Aeronautics and Astronautics Jiangsu China Beijing Normal University-Hong Kong Baptist University United International College Guangdong China State Key Laboratory of Cryptology Beijing100878 China City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781665408783

Kyber, an IND-CCA-secure key encapsulation mechanism (KEM) based on the MLWE problem, has been shortlisted for the third round evaluation of the NIST Post-Quantum Cryptography Standardization. In this paper, we explored the optimizations of Kyber in high-performance processors from the ARM Cortex-A series, which are widely used in mainstream mobile phones. To improve the performance of Kyber, we utilized the powerful SIMD instruction set NEON in an ARMv8-A to parallelize the core modules of Kyber, i.e., modular reduction and NTT. Specifically, we specially designed the optimized implementation based on the characteristic of the NEON instruction set for the Barrett and Montgomery reduction algorithms. To make full use of the computing power of NEON instructions, we proposed a novel strategy for computing the 16-bit Barrett reduction without handling the 32-bit intermediate result. Our Barrett and Montgomery reduction showed 8.52 and 8.89 times faster than the reference implementation. As for NTT/INTT, we adopted the 2+5 layer merging strategy on an ARMv8-A to implement NTT/INTT after carefully analyzing the register occupancy of various layer merging techniques. thanks to the selected layer merging strategy, our NTT and INTT achieved 11.89 and 13.45 times speedups compared with the reference implementation. Our optimized software achieved 1.77×, 1.85×, and 2.16× speedups for key generation, encapsulation, and decapsulation compared with Kyber's reference implementation. © 2021 IEEE.

关键词： Neon

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Constrained update projection approach to safe policy optimization 22

Constrained update projection approach to safe policy optimi...

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proceedings of the 36th international conference on Neural Information Processing systems

作者： Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan College of Computer Science and Technology Zhejiang University China and School of Artificial Intelligence Peking University China College of Computer Science and Technology Zhejiang University China Tsinghua Shenzhen International Graduate School Tsinghua University China Department of Computer Science and Computing Zhejiang University City College China School of Artificial Intelligence Peking University China and Institute for Artificial Intelligence Peking University & BIGAI China

ISBN: (纸本)9781713871088

Safe reinforcement learning (RL) studies problems where an intelligent agent has to not only maximize reward but also avoid exploring unsafe areas. In this study, we propose CUP, a novel policy optimization method based on Constrained Update Projection framework that enjoys rigorous safety guarantee. Central to our CUP development is the newly proposed surrogate functions along with the performance bound. Compared to previous safe reinforcement learning methods, CUP enjoys the benefits of 1) CUP generalizes the surrogate functions to generalized advantage estimator (GAE), leading to strong empirical performance. 2) CUP unifies performance bounds, providing a better understanding and interpretability for some existing algorithms; 3) CUP provides a non-convex implementation via only first-order optimizers, which does not require any strong approximation on the convexity of the objectives. To validate our CUP method, we compared CUP against a comprehensive list of safe RL baselines on a wide range of tasks. Experiments show the effectiveness of CUP both in terms of reward and safety constraint satisfaction.

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7th international conference on Finite Difference Methods, FDM 2018

7th International Conference on Finite Difference Methods, F...

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7th international conference on Finite Difference Methods, FDM 2018

ISBN: (纸本)9783030115388

the proceedings contain 80 papers. the special focus in this conference is on Finite Difference Methods. the topics include: Finite Difference Scheme for Stochastic Differential Games with Several Singular Control Variables and Its Environmental Application;stability Properties of Repeated Richardson Extrapolation Applied Together with Some Implicit Runge-Kutta Methods;computer Modeling of Control the thermal Imaging System Surveillance;generalized Multiscale Finite Element Method for Elasticity Problem in Fractured Media;automatic Time Step Selection for Numerical Solution of Neutron Diffusion Problems;local Convergence Results for an Optimal Iterative Method for Multiple Roots;spline Iterative Method for Pantograph Type Functional Differential Equations;on Gas Dynamic Hierarchy;the Error Analysis of Finite Difference Approximation for a System of Singularly Perturbed Semilinear Reaction-Diffusion Equations with Discontinuous Source Term;efficiency and Stability of a Family of Iterative Schemes for Solving Nonlinear Equations;a High Order Method on Graded Meshes for a Time-Fractional Diffusion Problem;stability of a Family of Iterative Methods of Fourth-Order;multidimensional Real Dynamics for High-Order Processes;bi-parametric Family of Methods with Memory Based of Ostrowski-Chun Method;asymptotically Lyapunov-Stable Solutions with Boundary and Internal Layers in the Stationary Reaction-Diffusion-Advection Problems with a Small Transfer;numerical Modeling of the Charge Transfer Along 1D Molecular Chain “Donor-Bridge-Acceptor” at T = 300 K;simulation of Influence of Special Regimes of Horizontal Flare systems on Permafrost;the Method of Fundamental Solutions Combined with a Multi-level Technique;generalized Multiscale Discontinuous Galerkin Method for Helmholtz Problem in Fractured Media;difference Schemes for the Nonlinear Equations in Partial Derivatives with Heredity.

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7th international conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019

7th International Conference on Scale Space and Variational ...

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7th international conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019

ISBN: (纸本)9783030223670

the proceedings contain 44 papers. the special focus in this conference is on Scale Space and Variational Methods in Computer Vision. the topics include: Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problems;Refitting Solutions Promoted by $$\ell _th$$ Sparse Analysis Regularizations with Block Penalties;An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data;A New Iterative Method for CT Reconstruction with Uncertain View Angles;time Discrete Geodesics in Deep Feature Spaces for Image Morphing;minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs;the Convex-Hull-Stripping Median Approximates Affine Curvature Motion;Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations;a Variational Convex Hull Algorithm;PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics;macrocanonical Models for Texture Synthesis;Variational Registration of Multiple Images with the SVD Based $$\mathrm {S}q\mathrm {N}$$ Distance Measure;Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration;variational Image Registration for Inhomogeneous-Resolution Pairs;computing Nonlinear Eigenfunctions via Gradient Flow Extinction;sparsification Scale-Spaces;stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis;provably Scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade;a Fast Multi-layer Approximation to Semi-discrete Optimal Transport;global Similarity with Additive Smoothness for Spectral Segmentation;segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers;finding Structure in Point Cloud Data with the Robust Isoperimetric Loss;lattice Metric Space Application to Grain Defect Detection;learning Adaptive Regularization for Image Labeling Using Geometric Assignment;a Balanced Phase Field Model for Active Contours.

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4th international conference on Future Data and Security Engineering, FDSE 2017

4th International Conference on Future Data and Security Eng...

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4th international conference on Future Data and Security Engineering, FDSE 2017

ISBN: (纸本)9783662588079

the proceedings contain 7 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: On semi-supervised learning with sparse data handling for educational data classification;logistic regression methods in selected medical information systems;mapping requirements specifications into a formalized blockchain-enabled authentication protocol for secured personal identity assurance;gait recognition with multi-region size convolutional neural network for authentication with wearable sensors;agile software engineering methodology for information systems’ integration projects;effectiveness of object oriented inheritance metrics in software Reusability;security analysis of administrative role-based access control policies with contextual information;Metamorphic malware detection by PE analysis with the longest common sequence;a steganography technique for images based on wavelet transform;Estimating the assessment difficulty of CVSS environmental metrics: An experiment;activity recognition from inertial sensors with convolutional neural networks;accuracy improvement for glucose measurement in handheld devices by using neural networks;towards a domain specific framework for wearable applications in internet of things;development and implementation of a web application for the management of data recorded by a carbon monoxide sensor;Privacy-aware data analysis middleware for data-driven EHR systems;an exact consensus-based network intrusion detection system;binary tree based deterministic positive selection approach to network security;application of rough sets to negative selection algorithms;focusing on precision- and trust-propagation in knowledge processing systems;MITIS - An insider threats mitigation framework for information systems;fast top-q and top-k query answering;integrating knowledge-based reasoning algorithms and collaborative filtering into e-learning material recommendation system.

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10th international conference on Computer Supported Education, CSEDU 2018

10th International Conference on Computer Supported Educatio...

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10th international conference on Computer Supported Education, CSEDU 2018

ISBN: (纸本)9783030211509

the proceedings contain 27 papers. the special focus in this conference is on Computer Supported Education. the topics include: Improving STEM Learning Experience in Primary School by Using NEWTON Project Innovative Technologies;Pathways to Successful Online Testing: eExams with the “Secure Exam Environment” (SEE);A Space-Efficient Technique of Policy Trees for an Intelligent Tutoring System on POMDP;a Learning Analytics Dashboard to Analyse Learning Activities in Interpreter Training Courses;how to Apply Problem-Based Learning in a Managed Way? A Case in computing Education;practical Software Engineering Capstone Course – Framework for Large, Open-Ended Projects to Graduate Student Teams;a Systematic Mapping Study on Game Elements and Serious Games for Learning Programming;algorithms and Logic as Programming Primers;an Evaluation of the Reliability, Validity and Sensitivity of three Human Mental Workload Measures Under Different Instructional Conditions in third-Level Education;Using Spinoza Log Data to Enhance CS1 Pedagogy;an Exercise in Reverse Engineering for Safety-Critical systems: An Experience for the Classroom;digital Media and Informal Learning: Alteration Mechanism and Captured Episodes;as One Size Doesn’t Fit All, Personalized Massive Open Online Courses Are Required;intermediaries in eHealth Education;detecting and Addressing Design Smells in Novice Processing Programs;investigating Embodied Music Expression through the Leap Motion: Experimentations in Educational and Clinical Contexts;intuitive Reasoning in Formalized Mathematics with Elfe;automatic Evaluation of Students’ Discussion Skill Based on their Heart Rate;improving Student Learning Experience by the Full Integration of Classroom Response systems into Lectures;a Layered Approach to Automatic Essay Evaluation Using Word-Embedding.

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