检索结果-内蒙古大学图书馆

Soft Decision Based Gaussian-Laplacian Combination Model for Noisy Speech Enhancement

Chinese Journal of Electronics 2018年第4期27卷 827-834页

作者： OU Shifeng SONG Peng GAO Ying School of Science and Technology for Opto-electronic Information Yantai University School of Computer and Control Engineering Yantai University

One of the key issues of noisy speech enhancement technique is to achieve appropriate statistical distributions to model the clean speech and noise signals accurately. Most of the existing algorithms try to employ a sole model assumption in transform domain, which, however, has been proven to being contrary with the fact. To address this problem, the statistical properties of clean speech as well as several noise signals are analyzed using actual data in Discrete cosine transform(DCT) domain, and the study indicates the statistic of clean speech DCT coefficients tending to fall somewhere in between the Gaussian and Laplacian distribution. Based on the results,a novel speech enhancement algorithm is proposed using Gaussian-Laplacian combination model, whose core is employing a linear combination of Gaussian and Laplacian distribution to model the statistic of clean speech DCT coefficients. The corresponding weights of either distribution to the combination model are adaptively adjusted in terms of the probability of each hypothesis, which is estimated based on a soft decision technique by using Bayesian theorem. Through a number of objective and subjective tests,we compare the performance of the proposed algorithm with other recent model based approaches and have found that our algorithm is superior to the related approaches at all testing environments.

关键词： Speech enhancement Soft decision Speech distortion Combination model

来源：评论

学校读者我要写书评

暂无评论

Laplacian Speech Model and Soft Decision Based MMSE Estimator for Noise Power Spectral Density in Speech Enhancement

引用

Chinese Journal of Electronics 2018年第6期27卷 1214-1220页

作者： OU Shifeng SONG Peng GAO Ying School of Science and Technology for Opto-electronic Information Yantai University School of Computer and Control Engineering Yantai University

The estimation of noise Power spectral density(PSD) is a very crucial issue for speech enhancement as a result of its significant effect on the quality and intelligibility of the enhanced speech. Most of the existing estimators for noise PSD try to employ Gaussian speech priors, which, however, have been proven inconsistent with the reality. We derived an effective solution to this problem of estimating noise PSD in the Minimum mean square error(MMSE) sense when the speech component is modeled by a Laplacian distribution. Meanwhile, the soft decision technique instead of the hard Voice activity detection(VAD) is evolved into our algorithm, which can automatically makes the estimation unbiased without requiring a bias compensation. The performance of the proposed method is tested by several objective and subjective measures under various stationary and nonstationary noise environments. The results confirm that our method achieves good performance for all the noise conditions and Signalnoise-ratio(SNR) settings.

关键词： Noise PSD estimation Speech enhancement Laplacian speech model Soft decision

来源：评论

学校读者我要写书评

暂无评论

Deep neurocomputational fusion for ASD diagnosis using multi-domain EEG analysis

引用

Neurocomputing 2025年 641卷

作者： Rasool, Abdur Aslam, Saba Xu, Yongjie Wang, Yishan Pan, Yi Chen, Weiyang Department of Information and Computer Sciences University of Hawaii at Manoa HonoluluHI96822 United States Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institutes of Advanced Technology Guangdong Shenzhen518055 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Guangdong Shenzhen518055 China School of Cyber Science and Engineering Qufu Normal University Shandong Qufu273165 China

Autism spectrum disorder (ASD) presents significant challenges in early detection due to its heterogeneous nature and the subtlety of neurophysiological variations. Electroencephalography (EEG) has emerged as a promising tool for ASD diagnosis, offering insights into intricate neurophysiological signal dynamics. However, existing computational EEG analysis techniques often struggle to effectively capture complex ASD-related neural activity patterns. To address these limitations, this study proposes an Encoder-Ensemble Fusion Model (EEFM), designed to enhance EEG-based ASD classification through advanced neurocomputational modeling. EEFM integrates multi-domain EEG features with a sophisticated fusion network, initially extracting a diverse range of time and frequency-domain characteristics. This model enables the identification of nuanced and heterogeneous ASD-specific neural activity, leveraging ensemble learning and autoencoder architectures to uncover complex relationships within the data. Specifically, an LSTM (Long Short-Term Memory)-autoencoder models temporal and spatial dependencies, followed by an XGBoost Regressor for nonlinear EEG signal interpretation and a linear regression model for decision boundary refinement. The proposed model has been evaluated on a dataset focusing on sex-specific EEG variations in ASD and Typically Developing (TD) subjects. By incorporating EEG-based neurophysiological biomarkers, EEFM achieved 93% accuracy in distinguishing ASD from TD individuals. This model enhances sensitivity to subtle ASD-related abnormalities while addressing challenges in data heterogeneity, scarcity, and generalizability, contributing to advancements in neurocomputing methodologies for EEG-based ASD diagnosis. © 2025 Elsevier B.V.

关键词： Neurons

来源：评论

学校读者我要写书评

暂无评论

Networked-based fixed-time discontinuous safety control for DDW systems under stochastic cyber-attacks and intermittent DoS attacks

引用

IEEE Transactions on Transportation Electrification 2025年

作者： Ding, Kui Zhu, Quanxin Huang, Tingwen Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu241000 China Hunan Normal University MOE-LCSM CHP-LCOCS School of Mathematics and Statistics Changsha410081 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This study investigates the network-based fixed-time stabilization problem of the direct drive wheel (DDW) system of electric vehicles under stochastic cyber-attacks and intermittent denial of service (DoS) attacks via reliable discontinuous control strategy, which has important research significance for the application of the communication network security of the direct drive wheel system of electric vehicles. Firstly, aiming at the fact that the widths of control channels induced by stochastic cyber-attacks are inconsistent, a new controller based on quantization discontinuous delay control method is designed. Secondly, the actuator fault is also taken into account to conform to the actual operation of the direct drive wheel system of electric vehicles. Moreover, given the reliability of controllers in practical engineering, this work develops a new sufficient condition for easy implementation based on Lyapunov functional, and construct a new reliable discontinuous safety controller with stochastic cyber-attacks and intermittent DoS attacks to control the stability of the direct drive wheel system of electric vehicles in fixed time. Finally, the correctness and feasibility of the developed theoretical results are verified by experiments. © 2015 IEEE.

关键词： Stochastic control systems

来源：评论

学校读者我要写书评

暂无评论

A multi-level approach to highly efficient recognition of Chinese spam short messages

引用

Frontiers of computer Science 2018年第1期12卷 135-145页

作者： Weimin WANG Dan ZHOU School of Computer Science & Engineering Jiangsu University of Science and Technology Jiangsu 212003 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100190 China

The problem of spam short message （SMS） recognition involves many aspects of natural language pro- cessing. A good solution to solving the problem can not only improve the quality of people experiencing the mobile life, but also has a positive role on promoting the analysis of short text occurring in current mobile applications, such as We- bchat and microblog. As spam SMSes have characteristics of sparsity, transformation and real-timedness, we propose three methods at different levels, i.e., recognition based on sym- bolic features, recognition based on text similarity, and recog- nition based on pattern matching. By combining these meth- ods, we obtain a multi-level approach to spam SMS recog- nition. In order to enrich the pattern base to reduce manual labor and time, we propose a quasi-pattern learning method, which utilizes quasi-pattern matching results in the pattern matching process. The method can learn many interesting and new patterns from the SMS corpus. Finally, a comprehensive analysis indicates that our spare SMS recognition approach achieves a precision rate as high as 95.18%, and a recall rate of 95.51%.

关键词： spam short message spam recognition similar-ity computing pattern learning

来源：评论

学校读者我要写书评

暂无评论

Lightweight Malicious Code Classification Method Based on Improved Squeeze Net

引用

computers, Materials & Continua 2024年第1期78卷 551-567页

作者： Li Li Youran Kong Qing Zhang School of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

With the growth of the Internet,more and more business is being done online,for example,online offices,online education and so *** this makes people’s lives more convenient,it also increases the risk of the network being attacked by malicious ***,it is important to identify malicious codes on computer systems ***,most of the existing malicious code detection methods have two problems:(1)The ability of the model to extract features is weak,resulting in poor model performance.(2)The large scale of model data leads to difficulties deploying on devices with limited ***,this paper proposes a lightweight malicious code identification model Lightweight Malicious Code Classification Method Based on Improved SqueezeNet(LCMISNet).In this paper,the MFire lightweight feature extraction module is constructed by proposing a feature slicing module and a multi-size depthwise separable convolution *** feature slicing module reduces the number of parameters by grouping *** multi-size depthwise separable convolution module reduces the number of parameters and enhances the feature extraction capability by replacing the standard convolution with depthwise separable convolution with different convolution kernel *** addition,this paper also proposes a feature splicing module to connect the MFire lightweight feature extraction module based on the feature reuse and constructs the lightweight model *** malicious code recognition accuracy of LCMISNet on the BIG 2015 dataset and the Malimg dataset reaches 98.90% and 99.58%,*** proves that LCMISNet has a powerful malicious code recognition *** addition,compared with other network models,LCMISNet has better performance,and a lower number of parameters and computations.

关键词： Lightweight neural network malicious code classification feature slicing feature splicing multi-size depthwise separable convolution

来源：评论

学校读者我要写书评

暂无评论

A reflective memory based framework for crowd network simulations

引用

International Journal of Crowd Science 2018年第1期2卷 74-84页

作者： Hongbo, Sun Zhang, Mi School of Computer and Control Engineering Yantai University Yantai China

Purpose: As main mode of modern service industry and future economy society, the research on crowd network can greatly facilitate governances of economy society and make it more efficient, humane, sustainable and at the same time avoid disorders. However, because most results cannot be observed in real world, the research of crowd network cannot follow a traditional way. Simulation is the main means to put forward related research studies. Compared with other large-scale interactive simulations, simulation for crowd network has challenges of dynamic, diversification and massive participants. Fortunately, known as the most famous and widely accepted standard, high level architecture (HLA) has been widely used in large-scale simulations. But when it comes to crowd network, HLA has shortcomings like fixed federation, limited scale and agreement outside the software system. Design/methodology/approach: This paper proposes a novel reflective memory-based framework for crowd network simulations. The proposed framework adopts a two-level federation-based architecture, which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by reflective memory) is used to address the systemic emergence and scale problem. Findings: With reference to HLA, this paper proposes a novel reflective memory-based framework toward crowd network simulations. The proposed framework adopts a two-level federation-based architecture, system-level simulation (system federation) and application-level simulation (application federations), which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by re

关键词： Reusability

来源：评论

学校读者我要写书评

暂无评论

A new simulation framework for crowd collaborations

引用

International Journal of Crowd Science 2021年第1期5卷 2-16页

作者： Yang, Rui Sun, Hongbo School of Computer and Control Engineering Yantai University Yantai China

Purpose: Collaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditional simulation is difficult to adapt to the crowd intelligence network simulation, so the crowd collaborations simulation is proposed. Design/methodology/approach: In this paper, the atomic swarm intelligence unit and collective swarm intelligence unit are proposed to represent the behavior of individuals and groups in physical space and the interaction between them. Findings: To explore the best collaboration mode of the group, a framework of crowd collaborations simulation is proposed, which decomposes the big goal into the small goals by constructing the cooperation chain and analyzes the cooperation results and feeds them back to the next simulation. Originality/value: Two kinds of swarm intelligence units are used to represent the simulated individuals in the group, and the pattern is used to represent individual behavior. It is suitable for the simulation of collaboration problems in various types and situations. © 2020, Rui Yang and Hongbo Sun.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

A novel simulation framework for crowd transportations

引用

International Journal of Crowd Science 2021年第3期5卷 293-310页

作者： Li, Zhihui Sun, Hongbo School of Computer and Control Engineering Yantai University Yantai China

Purpose: With the development of the modern economy, vehicles are no longer a luxury for people, which greatly facilitate people’s daily life, but at the same time bring traffic congestion. How to relieve traffic congestion and improve its capacity is a hot research area. This paper aims to propose a new simulation framework for crowd transportations to ease traffic congestion. Design/methodology/approach: This paper establishes related simulation models such as vehicles, traffic lights and advisers. Then the paper describes their relationships, gives their interaction mechanism and solidifies the above into a software implementation framework. Findings: This paper proposes a simulation framework for crowd transportations. Originality/value: In this framework, traffic lights are used as a control method to control the road network and road conditions are used as an Affecter to influence individual behavior. The vehicle passing rate is defined by the correlation between endowment and the start time of the traffic lights. In this framework, members are related, dynamically adjusted according to road conditions and dynamically optimized member decisions. The optimal path is dynamic and real-time adjustments are made for each step forward. It is different from the traditional optimal path in which there is only one fixed one and it is different from the macroscopic optimal path that does not exist. © 2021, Zhihui Li and Hongbo Sun.

关键词： Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

A rumor spread model based on immunization acceleration on microblog network

引用

Journal of Computational Information Systems 2015年第1期11卷 49-60页

作者： Ding, Xin Liu, Qicheng Zhang, Wei School of Computer and Control Engineering Yantai University Yantai China

As number of bloggers grows rapidly, the influence of microblog is increasing. The spread of rumor on the microblog network affects people's real life. It is of vital practical significance to study and predict rumor spread rule on microblog network. Taking into account the strong interaction of microblog, the concept of Immunization Acceleration will be introduced and an improved rumor spread model on microblog network is going to be presented in this paper. Experiments show that the improved model is applicable to rumor spread on microblog network, and prediction results is better. ©, 2014, Journal of Computational Information Systems. All right reserved.

关键词： Immunization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：