In this paper we propose a periodic solution to the problem of persistently covering a finite set of interest points with a group of autonomous mobile agents. These agents visit periodically the points and spend some ...
详细信息
Stroke classification is crucial for timely diagnosis and treatment, as it helps differentiate between hemorrhagic and ischemic strokes, which require distinct clinical interventions. This paper proposes a stroke clas...
详细信息
Stroke classification is crucial for timely diagnosis and treatment, as it helps differentiate between hemorrhagic and ischemic strokes, which require distinct clinical interventions. This paper proposes a stroke classification method using multi-channel electroencephalography (EEG) data. Unlike single-channel data or simple multi-channel concatenation, our method processes EEG data as a channel matrix, significantly improving classification performance. We employ two complementary feature extraction techniques: discrete wavelet transform (DWT) and empirical mode decomposition (EMD). DWT extracts multi-scale wavelet coefficients from stroke-related frequency bands, while EMD decomposes EEG signals into intrinsic mode functions (IMFs), representing narrowband oscillation components. To enhance feature quality, we propose a hybrid selection method that integrates four metrics—information entropy, power spectral density (PSD) distance, statistical significance, and maximum information coefficient (MIC)—to comprehensively evaluate IMFs. This method accounts for both the intrinsic information content of EEG signals and the inter-class differences between hemorrhagic and ischemic stroke subjects. Furthermore, this paper designs a pyramid cascade convolutional neural network (PCCNN) model with multi-branch independent learning and hierarchical fusion. Each DWT and EMD feature is processed by an independent one-dimensional convolutional neural networks (1D-CNN) branch for targeted extraction. A pyramid fusion mechanism integrates branch outputs into a fused feature vector, enabling the feature interaction through a top-level fusion CNN. Experimental results demonstrate that the proposed method, which integrates channel matrix processing, high-quality DWT and EMD feature selection, and multi-branch feature fusion, significantly outperforms single-feature methods. The fusion feature achieves a classification accuracy of 99.48 %, effectively distinguishing EEG data of hemorrha
Network lifetime optimization is a tough and important problem in Wireless Sensor Networks (WSNs). The mainstream current works outline a variety of methods for increasing network lifetime, such as reducing energy con...
详细信息
National carbon emissions trading marketOn July 16,2021,China opened a national carbon emissions trading market,which currently applies to power generation industry's more than 2 000 firms-more specifically,referr...
National carbon emissions trading market
On July 16,2021,China opened a national carbon emissions trading market,which currently applies to power generation industry's more than 2 000 firms-more specifically,referring to power companies(including enterprise-owned power plants of other industries)that,in any year from 2013 to 2019,discharged 26 000 tons of carbon dioxide equivalent and had comprehensive energy consumption of around 10 000 standard coal.
作者：
Yongqi LiuQiuxiang YaoMing SunXiaoxun MaSchool of Chemical Engineering
Northwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utilization of Hydrocarbon ResourcesChemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyShaanxi Research Center of Engineering Technology for Clean Coal ConversionCollaborative Innovation Center for Development of Energy and Chemical Industry in Northern ShaanxiXi’an 710069China
The catalytic cracking of coal tar asphaltene(CTA)pyrolysis vapors was carried out over transition metalion modified zeolites to promote the generation of light aromatic hydrocarbons(L-ArHs)in a pyrolysisgas chromatog...
详细信息
The catalytic cracking of coal tar asphaltene(CTA)pyrolysis vapors was carried out over transition metalion modified zeolites to promote the generation of light aromatic hydrocarbons(L-ArHs)in a pyrolysisgas chromatography/mass spectrometry(Py-GC/MS)micro-reactor *** effects of ultra stable Y(USY),Co/USY and Mo/USY on the selectivity and yield of L-ArHs products and the extent of deoxygenation(Edeoxygenation),lightweight(Elightweight)from CTA pyrolysis volatiles were *** showed that the yields of L-ArHs are mainly controlled by the acid sites and specific surface area of the catalysts,while the deoxygenation effect is determined by theirs pore *** Eligltweight of CTA pyrolysis volatiles over USY is 9.65%,while the Edeoxygenation of CTA pyrolysis volatiles over Mo/USY reaches 20.85%.Additionally,the modified zeolites(Mo/USY and Co/USY)exhibit better performance than USY on L-ArHs production,owing to the synergistic effect of metal ions(Mo,Co)and acid sites of *** with the non-catalytic fast pyrolysis of CTA,the total yield of L-ArHs obtained over USY(4032 mg·kg^(-1)),Co/USY(4363 mg·kg^(-1))and Mo/USY(4953 mg·kg^(-1))were increased by 27.03%,38.19%and 54.78%,***,the possible catalytic conversion mechanism of transition metal ion(Co and Mo)modified zeolites was proposed based on the distribution of products and the characterizations of catalysts.
To address the problem that indirect evaporative cooling technology is limited in high humidity areas, this paper establishes an evaporative cooling system with dehumidification system, which uses the waste heat of da...
详细信息
This paper proposes a signal detector for mobile multi-user molecular communication system by using Transformer-based model. This detector can improve the accuracy of detection ability by training the Transformer-base...
This paper proposes a signal detector for mobile multi-user molecular communication system by using Transformer-based model. This detector can improve the accuracy of detection ability by training the Transformer-based model at different initial distances between the transmitters and receiver, and can also perform detection in the case of unknown channel parameters. Numerical results show that compared with deep neural networks model, the Transformer-based model performs better detection ability in mobile multi-user molecular communication system with lower bit error rate of signal detection.
As the advancement of In-Situ Resource Utilization concepts and systems continue to develop, applicable technologydevelopment and maturation continues in parallel. While there are many different ways to use the resou...
详细信息
In this paper, a sheet beam electron gun with large beam current based on thermal emission mechanism is designed and simulated for developing 0.22 THz traveling-wave tubes (TWTs). A pencil beam of the electron gun can...
详细信息
In this work, we present a novel variant of the stochastic gradient descent method termed as iteratively regularized stochastic gradient descent (IRSGD) method to solve nonlinear ill-posed problems in Hilbert spaces. ...
详细信息
暂无评论