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检索条件"任意字段=6th International Conference on Algorithms and Discrete Applied Mathematics"

共 857 条记录，以下是61-70 订阅

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Convex Hull Convolutive Non-negative Matrix Factorization Based Speech Enhancement For Multimedia Communication 6

Convex Hull Convolutive Non-negative Matrix Factorization Ba...

引用

6th international conference on Cryptography, Security and Privacy (CSP)

作者： Wang, Dongxia Cui, Jie Wang, Jinghua Tan, Huan Xu, Ming Tianjin Univ Technol & Educ Tianjin Key Lab Informat Sensing & Intelligent Co Tianjin Peoples R China Liaoning Univ Technol Sch Elect Informat Engn Jinzhou Peoples R China

ISBN: (数字)9781665479752

ISBN: (纸本)9781665479752

In this paper, an effective speech enhancement method is proposed for the next generation multimedia communication system. the priori knowledge of the enhancement stage is obtained by the modified Convex Hull Convolutive NMF with less information loss. To deal with the difficulty of its optimal gain estimation, an iterative algorithm is then introduced to update the coefficient matrix. the experimental results under different types of noise environment show that the proposed algorithm can reduce the signal distortions dramatically, and provide better enhancement performance than the benchmark algorithms simultaneously, especially under adverse conditions.

关键词： speech enhancement discrete wavelet packet transform Convex Hull Convolutive NMF

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ISMSI 2022 - 2022 6th international conference on Intelligent Systems, Metaheuristics and Swarm Intelligence

ISMSI 2022 - 2022 6th International Conference on Intelligen...

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6th international conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, ISMSI 2022

ISBN: (纸本)9781450396288

the proceedings contain 18 papers. the topics discussed include: genetic algorithm with machine learning to estimate the optimal objective function values of subproblems;coevolutionary algorithm for evolving competitive strategies in the weapon target assignment problem;a hybrid multi-objective teaching learning-based optimization using reference points and R2 indicator;evolutionary algorithm for solving supervised classification problems: an experimental study;automation of fabric pattern construction using genetic algorithms;a new discrete whale optimization algorithm with a spiral 3-opt local search for solving the traveling salesperson problem;understanding the effects of ant algorithms on path planning with gain-ant colony optimization;stability-guided multi-guide particle swarm optimization;static polynomial approximation using set-based particle swarm optimization;and assessing the quality of car racing controllers in a virtual setting under changed conditions.

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discrete Modeling Analysis of Enterprise Supply Chain Management Optimization Based on Big Data Analysis 6

Discrete Modeling Analysis of Enterprise Supply Chain Manage...

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6th international Workshop on Advanced algorithms and Control Engineering, IWAACE 2022

作者： Luo, Xu Chen, Jinwei Gu, Chengwei Fan, Xingkui School of Management Engineering Qingdao University of Technology Qingdao266525 China School of Information and Control Engineering Qingdao University of Technology Qingdao266525 China School of Science Qingdao University of Technology Qingdao266525 China

ISBN: (纸本)9781510657755

With the advent of the era of massive data, algorithmic optimization and data mining have been applied in many industries in an unprecedented and innovative way. In the field of enterprise supply chain management, big data and algorithmic optimization technologies have been well applied. the establishment of the innovative model of supply chain management efficiency optimization can improve the management efficiency in the supply process and can greatly promote market development. the use of big data technology can make supply chain management more informative and intelligent. this study proposes a discrete modeling analysis of enterprise supply chain management optimization based on big data analysis. the main use of big data technology is to analyze the obtained data information and quantify the abstract features of the supply process. the discrete dynamic modeling technique is also used to develop a three-level intelligent planning algorithm, focusing on the quality issues in the upstream supply process and the cost issues in ordering and forwarding for management optimization. In addition, this study also have innovatively developed intelligently selected time series for forecasting the supply potential of companies. © 2022 SPIE.

关键词： Supply chain management

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Broadcast Graph is NP-Complete 11th

Broadcast Graph is NP-Complete

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11th international conference on algorithms and discrete applied mathematics, CALDAM 2025

作者： Xu, Jinghan Li, Zhiyuan Guangdong Provincial Key Laboratory IRADS BNU-HKBU United International College Zhuhai519087 China

ISBN: (纸本)9783031834370

the broadcast model is widely used to describe the process of information dissemination from a single node to all nodes within an interconnected network. In this model, a graph represents the network, where vertices correspond to nodes and edges to communication links. the efficiency of this broadcasting process is evaluated by the broadcast time, the minimum discrete time units required to broadcast from a given vertex. Determining the broadcast time is referred to as the problem Broadcast Time. the set of vertices with the minimum broadcast time among the graph is called the broadcast center. Identifying this center or determining its size are both proven to be NP-hard. For a graph with n vertices, the minimum broadcast time is at least ⌈log2n⌉. the Broadcast Graph problem asks in a graph of n vertices, whether the broadcast time from any vertex equals ⌈log2n⌉. Extensive research over the past 50 years has focused on constructing broadcast graphs, which are optimal network topologies for one-to-all communication efficiency. However, the computational complexity of the Broadcast Graph problem has rarely been the subject of study. We believe that the difficulty lies in the mapping reduction for an NP-completeness proof. Consequently, we must construct broadcast graphs for yes-instances and non-broadcast graphs for no-instances. the most closely related result is the NP-completeness of Broadcast Time proved by Slater et al. in 1981. More recently, Fomin et al. has proved that Broadcast Time is fixed-parameter tractable. In this paper, we prove that Broadcast Graph is NP-complete by proving a reduction from Broadcast Time. We also improve the results on the complexity of the broadcast center problem. We show Broadcast Center Size is in Δp2, and is DP-hard, implying a complexity upper bound of Δp2-complete and a lower bound of DP-hard (NP ⊆DP⊆Δp2). © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Information dissemination

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Develop and validate STEM education activities using the "6E Design Teaching Model": Taking "Dynamics and Energy Conversion in Sail Car Design" as an example 31

Develop and validate STEM education activities using the "6E...

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31st international conference on Computers in Education (ICCE)

作者： Chen, Lu Yang, Yang Chen, Guang Beijing Normal Univ Fac Psychol Beijing 100875 Peoples R China Beijing Normal Univ Fac Educ Sch Educ Technol Beijing 100875 Peoples R China

ISBN: (纸本)9786269689019

this study employed a mixed research approach to analyze commonly used teaching models in STEM education and integrated the findings of comprehensive STEM research. the 6E Design Teaching Model (Engage, Explore, Explain, Engineer, Enrich and Evaluate) was selected, following the "Science-Technology-Engineering-mathematics integration" approach. It was used to develop STEM education activities targeting students in the 5th and 6th grades, focusing on "Dynamics and Energy Conversion in Sail Car Design." through three rounds, the effectiveness and feasibility of the activities were examined. the study employed quantitative tools and qualitative interviews (including teachers and students) to improve the teaching process and instructional framework. the results indicate that (1) STEM education activities developed using the 6E Model significantly enhance students' interest in engineering subjects when applied in teaching practice;(2) the instructional activities can effectively be applied in classrooms that integrate scientific inquiry and engineering practices. Over the course of the three rounds, the participating teachers demonstrated improved classroom control and time management, while student scores in engineering design projects showed noticeable progress. through the optimization of the teaching process, instructional framework, and other aspects such as materials, operations and management, the study ultimately developed a highly practical STEM education case that integrates engineering practices into science inquiry classrooms. this case serves as a reference for frontline science teachers and researchers.

关键词： 6E Design Teaching Model Integrated STEM Education Activity Design

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Sixth international conference on Computer Information Science and Application Technology, CISAT 2023

Sixth International Conference on Computer Information Scien...

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6th international conference on Computer Information Science and Application Technology, CISAT 2023

ISBN: (纸本)9781510668546

the proceedings contain 243 papers. the topics discussed include: CP-ABE access control scheme supporting data permission management in IOT;numerical simulation study on wall interference of multi-size wind tunnel;interleaving-mapping: a novel data layout in scratchpad memory;accuracy comparison between decision tree and naive bayes algorithms in large discrete dataset with incompletely independent attributes;a lightweight detection algorithm for steel surface defects based on improved YOLOv5;an improved PSO algorithm based on stream computing and multi-swarm;lossless compression for quality scores of genomic data based on high-throughput sequencing;research on multi-UAV cooperative reconnaissance target information fusion algorithm;research on the application of artificial intelligence in computer networks;and interval optimization for uncertain structure using particle swarm algorithm.

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Output-Reference FiniteTime Bounded Tracking Control of Linear Systems with Disturbance Generated by an Exosystem 6

Output-Reference FiniteTime Bounded Tracking Control of Line...

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6th IEEE international conference on Advanced Robotics and Mechatronics (ICARM)

作者： Yao, Yuwu Yan, Xiaohui Chan, Huangfeng Wu, Yuhua Hefei Univ Key Lab Appl Math & Mech Artificial Intelligence Hefei Peoples R China

ISBN: (纸本)9780738133645

In present paper the finite-time bounded tracking control of discrete-time systems with external disturbance is considered. We constructed a new system so that the problem can be transformed into finite-time boundedness(FTB) problem of the output vector error system. Based on this, a tracking controller for the original system is designed to ensure that the system is finite-time bounded tracking of the reference signal. To illustrate the feasibility of the tracking controller, a numerical simulation result is also provided.

关键词： discrete-time finite-time bounded tracking control disturbance state feedback controller LMI approach

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A Data Science and Machine Learning Technique for Crop Localization From Weather Dataset 6

A Data Science and Machine Learning Technique for Crop Local...

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6th international conference on Computing Methodologies and Communication, ICCMC 2022

作者： Abedin, Md. Minhajul Islam, Md. Nurul Chowdhury, Joy Ray Deb, Shampa Rani Ahmed, Fizar Daffodil International University Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665410281

Bangladesh is an agricultural country, and it is the backbone of our nation. Agriculture employs over half of Bangladesh's people, and crops occupy more than 70% of the country's territory. More than 12 percent of revenue comes from the agriculture sector. But our lands are limited, and our population is growing day by day. that's it is required to increase the demand for crops continuously. So, it is a huge challenge to increase crop production. But our farmers face different types of problems during cultivation. they cannot justify which crop should be cultivated. Because of this, they did not get the expected yield. Machine learning plays a vital role in agricultural prediction. Crop prediction is a complex process. A massive amount of data is needed, like temperature, humidity, precipitation, wind speed, dew etc. In this system, different types of machine learning algorithms are applied and which algorithm gives better accuracy has been determined. Random Forest is found to give the best accuracy and so it is applied to the dataset. Weather data is collected from NASA Power Access Viewer and crop data from different sources. then 80% data for training and 20% for testing are applied to this dataset. 91% accuracy has been attained from the Random Forest algorithm, which will help the farmer to decide which crop should be cultivated. It will increase crop production and remove hunger and poverty from our country. © 2022 IEEE.

关键词： Forecasting

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6th international conference on Frontiers in Industrial and applied mathematics, FIAM 2023

6th International Conference on Frontiers in Industrial and ...

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6th international conference on Frontiers in Industrial and applied mathematics, FIAM 2023

ISBN: (纸本)9789819625789

the proceedings contain 15 papers. the special focus in this conference is on Frontiers in Industrial and applied mathematics. the topics include: Numerical Study of Co-Firing in Swirl Burner Using Coal-Biomass Blends;heat Transfer in Tangent Hyperbolic Nanofluid Flow Over a Stretching Sheet with Convective Boundary;results of Asymptotic Analysis of an Elliptic Equation;uniform Approximation of Function g∈L[0,∞)-Space Using Eq.T-Means of its Fourier–Laguerre Series;the Lie Group Analysis of the 2D Time-Independent Isotropic Harmonic Oscillator;analysis and Simulation of Fractional Nonlinear Convection–Diffusion Model with Caputo Derivative;common Fixed Point theorem for Multivalued Mappings in Weak-Partial b-Metric Space with an Application;deep Learning Based Parametric Estimation in Double-Diffusive Convective Flow;on a MX/G/1 Queue with Two Types of Random Failures, Delay in Starting the Major Repairs and Reneging During the Down Time;triple Secure Encryption Scheme three-Channel Image Based on Hankel Transform, Geometric Transforms and Hyper-Chaotic Maps;investigation of Boiler Efficiency Improvements via Enthalpy Wheel with Application to a Biomass Boiler;To Study the Effect of ER Flux and Orai Flux on Fractional Calcium Diffusion in Neuron Cell;numerical Study of thermo-Convective Instability of Au–Fe3O4 Hybrid Bi-Viscous Bingham Nanofluid.

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2022 6th international conference on Mechanics, mathematics and applied Physics, ICMMAP 2022

2022 6th International Conference on Mechanics, Mathematics ...

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2022 6th international conference on Mechanics, mathematics and applied Physics, ICMMAP 2022

the proceedings contain 120 papers. the topics discussed include: study on vibrational properties of vehicle and track system caused by deformation of tunnel base;application of Fourier’s law in one-dimensional steady heat conduction calculation of cylinder wall;research on wind wave simulation technology based on potential flow theory;numerical simulation on field characteristics of the horizontal gas jet flow of underwater vehicle;numerical simulation of close-range interference of main engine jet/rudder;experiments of gas-water cooperative flooding in fracture network system;risk analysis and scheme optimization of sand control string running in extended reach horizontal well;diagnosis and treatment of burst vibration fault of large steam turbine generator shaft system;an optimization scheme of water resources allocation based on the particle swarm algorithm;hydrodynamic derivative calculation and turning performance simulation of amphibious aircraft;effect of MHD control on turbulent boundary layer separation flow in scramjet inlet;and sodium fast reactor steam generator heat exchanger modal analysis and additional mass coefficient calculation.

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