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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3565 条记录，以下是441-450 订阅

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Improving the Simulation Performance for Aggregate Programs Through Compiler Plugins

Improving the Simulation Performance for Aggregate Programs ...

引用

international Workshop/symposium on distributed Simulation and Real-Time applications (DS-RT)

作者： Angela Cortecchia Department of Computer Science and Engineering Alma Mater Studiorum—Università di Bologna Cesena Italy

ISBN: (数字)9798331527211

ISBN: (纸本)9798331527228

Aggregate computing is an emerging macropro-gramming paradigm, whose validation is often performed by simulation. In this work, we compare the existing JVM-based toolkits from a performance point of view and show that they can be improved by adopting a different technique for implementing a core part of the semantics, called alignment, based on meta-programming implemented with a compiler plugin.

关键词： Program processors Aggregates Semantics Real-time systems Systems simulation

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Radar emitter signal recognition based on coordinated attention

Radar emitter signal recognition based on coordinated attent...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Ding Jiajun Yan Yunyang Liu Yian School of Artificil Intelligence and Computer Science Jiangnan University Wuxi China

ISBN: (纸本)9781665454636

Aiming at the problem that complex radar emitter signals are difficult to be recognized at low signal-to-noise ratio, a method based on improved coordinate attention network is proposed. Firstly, the radar signal is converted into a two-dimensional time-frequency image to reflect the signal feature information. Then the time-frequency image preprocessing and denoising by convolutional neural network. Finally, the coordinated attention network is used for feature extraction, and then the classification of radar emitter source signals are realized. Experiments results show that the proposed method can validly improve the accuracy of radar signal recognition under the condition of low SNR.

关键词： Time-frequency analysis Image recognition Noise reduction Radar Transforms Manuals Radar imaging

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Research on Amazon Forest Fire Based on Cellular Automata Simulation 20

Research on Amazon Forest Fire Based on Cellular Automata Si...

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Sun, Weizheng Wei, Wenxiang Chen, Jingyu Ren, Kaiqi Hunan University of Science and Technology School of Information and Electrical Engineering Hunan China

ISBN: (纸本)9781665428897

Wildfire, especially uncontrolled flammable vegetation hazard in rural or wilderness areas, seriously affected human life and safety, prediction methods has been researched widely in recent decades. According to Amazon forest fire situation, an advanced system hierarchical clustering model is established in this paper, and the diffusion simulations of Amazon forest fire is implemented by using the cellular automata model, which constructed with the previous model. Then, the diffusion speed and diffusion range of different brightness parameters are analyzed. Furthermore, combined with the three-dimensional effect of fire and smoke simulated by particle system, the entropy weight TOPSIS model is constructed to the optimized ranking of wildfire risk index with its longitude and latitude, and obtain the relationship diagram of latitude, longitude and wildfire risk index after extracting data. The feasibility and rationality of the proposed method is verified by simulation results. © 2021 IEEE.

关键词： Cellular automata

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Bi-objective optimization of availability and cost for cloud services 21

Bi-objective optimization of availability and cost for cloud...

引用

21st IEEE international symposium on Network computing and applications, NCA 2022

作者： Bento, Andre Soares, Joao Ferreira, Antonio Duraes, Joao Ferreira, Jose Carreira, Rita Araujo, Filipe Barbosa, Raul University of Coimbra CISUC DEI Portugal Fiercely Coimbra Portugal Polytechnic of Coimbra Coimbra Engineering Academy Coimbra Portugal Cleanwatts Digital Coimbra Portugal

ISBN: (纸本)9798350397307

Cloud-based services are a current approach for developing large-scale applications with advantages such as flexibility, access to on-demand resources, and business agility. The overall application functionality results from complex interactions of many decoupled services, each having its operational specificity. Due to this complexity, the manual configuration of these systems is very arduous, error-prone and likely to impair the quality of service, leading to malfunctioning services, lowering availability and accruing costs. Identifying the optimal solution to simultaneously optimize availability and costs, whilst meeting service level objectives remains a challenge for professionals developing solutions using cloud services. This paper proposes a mathematical formulation of a bi-objective problem to identify the optimal set of solutions for the system configuration. Empirical evaluation of the proposed approach in a case study of a real industrial scenario results in an R-Squared of 0.85, an MSE of 0.021 and an optimization accuracy of 0.928. These methods can help practitioners to keep services at an optimum configuration enabling autonomic service operation, whilst improving availability and cost. © 2022 IEEE.

关键词： Quality of service

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Secure Verifiable Outsourced Watermark Embedding Framework in Multi-User Settings

Secure Verifiable Outsourced Watermark Embedding Framework i...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Wanxi Yan Hang Cheng Meiqing Wang Hehui Ye Qinjian Huang Li Wu College of Mathematics and Statistics Fuzhou University Fuzhou China College of Computer Science and Big Data Fuzhou University Fuzhou China

ISBN: (纸本)9781665454636

With the development of the mobile Internet, supporting multi-user has become a popular concern for Internet-based algorithms. In this paper, an efficient watermark embedding framework is proposed to achieve secure outsourced image watermarking in multi-user settings. In addition, an authentication mechanism for authorized users is designed to ensure the security and correctness of the information. The proposed method enables watermarking operations in complex outsourced environments while embedding watermarks in encrypted images of multiple users. The experimental results show that the framework is feasible and scalable.

关键词： Wavelet transforms Authentication Watermarking Internet Matrix decomposition Cryptography Singular value decomposition

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Road Rage Recognition System Based on Speech Features

Road Rage Recognition System Based on Speech Features

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Yang Li Wenjing Wang Xinmin Xu College of Information Science & Electrical Engineering Zhejiang University Hangzhou China Jinhua Institute of Zhejiang University Jinhua China

ISBN: (纸本)9781665454636

A major cause of traffic accidents is road rage. How to identify road rage is an important problem that needs to be solved urgently. Road rage recognition is different from traditional emotion recognition. The sound signal to be recognized contains complex traffic environment noise, and the recognition target is a single anger emotion. This paper extracts high robustness, high generalization, and anger features from speech signals. A convolutional neural network (CNN) and multi-headed self-attention criterion bi-directional long-short-term memory network (Multi-headed Self-Attention Bi-LSTM) fusion decision model is proposed to realize anger emotion recognition.

关键词： Emotion recognition Target recognition Roads Computational modeling Speech recognition Feature extraction Robustness

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An Improved Hybrid Method for Power System Reliability Assessment

An Improved Hybrid Method for Power System Reliability Asses...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Liping Qu Tailu Gao Jie Zhang Bin Liu Wenchao Cui School of Electrical Engineering and Information Beihua University Jilin China

ISBN: (纸本)9781665454636

In order to improve the sampling efficiency of the non-sequential Monte Carlo simulation method, an improved hybrid method combining the analytical method and the significant Latin hypercube sampling method is proposed based on the idea of state space partitioning. The method partitions the system state space based on the determination of the significant state subspace to avoid sampling the zero-fault state of the system. The reliability index of the significant state subspace is efficiently solved by the analytical method, and the remaining state subspace is sampled by the significant Latin hypercube sampling method. Finally, the correctness and efficiency of the proposed algorithm is verified by evaluating the reliability of the IEEE-RTS system.

关键词： Monte Carlo methods Estimation Hypercubes Sampling methods Reliability engineering Hybrid power systems Power system reliability

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Quantile Regression Method of House Price Index for Newly Building Condominiums in China 20

Quantile Regression Method of House Price Index for Newly Bu...

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Lirong, Ai Saiqi, He Shengping, Jin Wuhan Institute of Shipbuilding Technology Wuhan430050 China School of Science Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781665428897

The house price index plays a very important role in the real estate economy due to it is an indicator of real estate price changing. Aiming at the compilation model of China's new ordinary residential housing price index based on the matching set of upright adjacent floors, the parameter estimation method is improved, and the ordinary least square regression (OLS) is replaced by quantile regression to eliminate the extreme sensitivity of least square regression to outliers. This paper puts forward the quantitative index to evaluate the advantages and disadvantages of different methods to compile house price index, and makes an empirical analysis of the above ideas based on the loan data of commercial banks. The conclusions we got are more consistent with the actual results, more stable, and in line with the requirements of the third generation of housing price index compilation methods. © 2021 IEEE.

关键词： Floors

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Trajectory tracking of unmanned vehicle based on improved model predictive control 20

Trajectory tracking of unmanned vehicle based on improved mo...

引用

20th international symposium on distributed computing and applications for business engineering and science, DCABES 2021

作者： Miao, Wang Yefu, Wu Fengyu, Huang Institute of Computer Science and Technology Hubei Key Laboratory of Transportation Internet of Things Technology Wuhan University of Technology Wuhan China

ISBN: (纸本)9781665428897

Driverless technology has become a hot spot of current research, in order to improve the speed of unmanned vehicle path planning. Firstly, the artificial potential field (APF) model is added to the objective function of model predictive control (MPC) as a path planning term to make path planning and trajectory tracking simultaneously, so as to optimize the model controller. Secondly, by introducing the adjustment factor of objective function to solve the problem that MPC objective function may have no optimal solution, and then linearize the objective function to accelerate the speed of solving the objective function. Finally, Matlab / Simulink and CarSim are used for joint simulation experiments to compare the path planning and tracking effects before and after the improvement and optimization of the controller. The experimental results show that the improved model predictive controller has faster solution speed. © 2021 IEEE.

关键词： Model predictive control

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RIS-Aided Channel Construction in Random Opportunistic Networks

RIS-Aided Channel Construction in Random Opportunistic Netwo...

引用

international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Fei Gao Xin Yan School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan China

ISBN: (纸本)9781665454636

Random opportunistic networks are dynamic, resulting in nodes not being able to sense the state of the network, and the network topology of nodes changes all the time. Therefore, this paper proposes a RIS-aided channel construction algorithm, which can be used to maintain and change the topology of random opportunistic networks. A machine learning algorithm with spatio-temporal feature fusion is first used to predict the current position of the node, and finally the RIS-aided channel construction is implemented based on the predicted position. The simulation experiments show that the algorithm can find the optimal path between the target node and the source node in the presence of errors in the target node.

关键词： Machine learning algorithms Network topology Heuristic algorithms Prediction methods Prediction algorithms Load management Topology

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