http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Yuze Li,Huijun Chen 대한자기공명의과학회 2020 Investigative Magnetic Resonance Imaging Vol.24 No.4
Purpose: To generate the under-sampling pattern using a self-supervised learning framework based on a graph convolutional network. Materials and Methods: We first decoded the k-space data into the graph and put it into the network. After the processing of graph convolution layers and graph pooling layers, the network generated the under-sampling pattern for MR reconstruction. We trained the network on the simulated brain dataset enabled by the selfsupervised learning strategy. We did simulation along with the in vivo brain and liver experiments under different noise levels and accelerating factors to compare the performance between the proposed method and traditional methods using the PSNR and SSIM index. Results: The simulation experiments showed that the proposed method can achieve the best performance with low accelerating factors (2 and 3) at all noise levels and in high accelerating factors (4 and 5) at high noise levels (50 and 70 dB). In in vivo experiments, the proposed method attained the highest PSNR and SSIM in the brain dataset as well as in the liver dataset after fine tuning on a small liver dataset. Conclusion: The self-supervised learning framework based on a graph convolutional network was able to design the under-sampling mask for MR reconstruction. The superior performance in the simulation and in vivo experiments demonstrated the feasibility and flexibility of the proposed method and its potential in clinical use.
Cognitive Virtual Network Embedding Algorithm Based on Weighted Relative Entropy
( Yuze Su ),( Xiangru Meng ),( Zhiyuan Zhao ),( Zhentao Li ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.4
Current Internet is designed by lots of service providers with different objects and policies which make the direct deployment of radically new architecture and protocols on Internet nearly impossible without reaching a consensus among almost all of them. Network virtualization is proposed to fend off this ossification of Internet architecture and add diversity to the future Internet. As an important part of network virtualization, virtual network embedding (VNE) problem has received more and more attention. In order to solve the problems of large embedding cost, low acceptance ratio (AR) and environmental adaptability in VNE algorithms, cognitive method is introduced to improve the adaptability to the changing environment and a cognitive virtual network embedding algorithmbased on weighted relative entropy (WRE-CVNE) is proposed in this paper. At first, the weighted relative entropy (WRE) method is proposed to select the suitable substrate nodes and paths in VNE. In WRE method, the ranking indicators and their weighting coefficients are selected to calculate the node importance and path importance. It is the basic of the WRE-CVNE. In virtual node embedding stage, the WRE method and breadth first search (BFS) algorithm are both used, and the node proximity is introduced into substrate node ranking to achieve the joint topology awareness. Finally, in virtual link embedding stage, the CPU resource balance degree, bandwidth resource balance degree and path hop counts are taken into account. The path importance is calculated based on the WRE method and the suitable substrate path is selected to reduce the resource fragmentation. Simulation results show that the proposed algorithm can significantly improve AR and the long-term average revenue to cost ratio (LTAR/CR) by adjusting the weighting coefficients in VNE stage according to the network environment. We also analyze the impact of weighting coefficient on the performance of the WRE-CVNE. In addition, the adaptability of the WRE-CVNE is researched in three different scenarios and the effectiveness and efficiency of the WRE-CVNE are demonstrated.
Yuze Xue,Mingwei Zhang,Le Xin,Luchao Ren,Panpan Lv,Hang Zhan,Jing He,Jiwei Zhai 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.2
0.2ZnAl2O4/0.8Ba0.5Sr0.5TiO3 ceramics with good dielectric temperature stability were synthesized by controlling sinteringbehavior. The relationship between sintering conditions, microstructure, and dielectric properties of ceramics was studied. Cubic structures were confirmed in all ceramics. Double sintering (DS) behavior can effectively improve the density, and thegrain size has no obvious change compared with non-repeated sintering. The maximum dielectric permittivity (220 at 10 kHz)and minimum leakage current (3.98×10-6 A/cm2 at 0.25 kV/cm) are obtained in the DS ceramics, which is superior to thoseof the single sintering ceramics. This can be ascribed to the higher relative density of the DS ceramics in contrast to the singlesintering ceramics. More importantly, the temperature stability of the DS sample in all samples is optimal due to the highsurface energy at grain boundaries and improved density. This work demonstrates a route to produce ceramics with weaktemperature sensitivity for microwave applications.
Huabin Zhang,Yuze Bai,Xuejia Shi,Linxia Sun,Zhengfei Wang,Xiaobing Wu 한국유전학회 2018 Genes & Genomics Vol.40 No.2
Passeriformes is the largest group within aves and the phylogenetic relationships between Passeriformes have caused major disagreement in ornithology. Particularly, the phylogenetic relationships between muscicapoidea and sylvioidea are complex, and their taxonomic boundaries have not been clearly defined. Our aim was to study the status of two bird species: Tarsiger cyanurus and Phoenicurus auroreus. Furthermore, we analyzed the phylogenetic relationships of Passeriformes. Complete mitochondrial DNA (mtDNA) sequences of both species were determined and the lengths were 16,803 (T. cyanurus) and 16,772 bp (P. auroreus), respectively. Thirteen protein-coding genes, 22 tRNA genes, two rRNA genes, and one control region were identified in these mtDNAs. The contents of A and T at the base compositions was significantly higher than the content of G and C, and this AT skew was positive, while the GC skew was negative. The monophyly of Passeriformes is divided into four major clades: Corvoidea, Sylvioidea, Passeroidea, and Musicicapoidea. Paridae should be separated from the superfamily Sylvioidea and placed within the superfamily Muscicapoidea. The family Muscicapidae and Corvida were paraphyly, while Carduelis and Emberiza were grouped as a sister taxon. The relationships between some species of the order passeriformes may remain difficult to resolve despite an effort to collect additional characters for phylogenetic analysis. Current research of avian phylogeny should focus on adding characters and taxa and use both effectively to obtain a better resolution for deeper and shallow nodes.
Lianmin Ji,Liang Cai,Yuze zhang,Xiaowu Peng,Dong Shi,Lijuan Li 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.123 No.-
Based on the exchangeability of anions between the layers of magnesium-based LDHs, LDHs intercalatedby tartaric acid anion (TA-LDH) was prepared by co-precipitation method to adsorb boron, and confirmedby XRD and FT-IR that TA had successfully entered the interlayer of LDH. The adsorption kinetics showedthat the adsorption efficiency of B was mainly controlled by the chemisorption mechanism. The thermodynamicsrevealed that the relationship between the equilibrium concentration of B in solution and theadsorption capacity of TA-LDH for B was consistent with the Freundlich model. Cl or Li+ in solution hadlittle effect on the adsorption of B by TA-LDH, while SO4 2 had a great effect on that compared with NO3-LDH. Boron adsorption was accomplished through the interaction between the hydroxyl of TA anion inthe interlayer and that of B(OH)3 and B(OH)4. The elution efficiency of TA-LDH was greater than 70% withammonium chloride used as the eluent. While TA-LDH still maintained a good adsorption capacity after 5cycles, and the solubility loss efficiencies of Mg2+ in a single adsorption and elution were 1.5% and 5.4%,respectively. Our study can provide a new idea and method for the development and utilization of magnesiumresources.
Virtual Network Embedding based on Node Connectivity Awareness and Path Integration Evaluation
( Zhiyuan Zhao ),( Xiangru Meng ),( Yuze Su ),( Zhentao Li ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.7
As a main challenge in network virtualization, virtual network embedding problem is increasingly important and heuristic algorithms are of great interest. Aiming at the problems of poor correlation in node embedding and link embedding, long distance between adjacent virtual nodes and imbalance resource consumption of network components during embedding, we herein propose a two-stage virtual network embedding algorithm NA-PVNM. In node embedding stage, resource requirement and breadth first search algorithm are introduced to sort virtual nodes, and a node fitness function is developed to find the best substrate node. In link embedding stage, a path fitness function is developed to find the best path in which available bandwidth, CPU and path length are considered. Simulation results showed that the proposed algorithm could shorten link embedding distance, increase the acceptance ratio and revenue to cost ratio compared to previously reported algorithms. We also analyzed the impact of position constraint and substrate network attribute on algorithm performance, as well as the utilization of the substrate network resources during embedding via simulation. The results showed that, under the constraint of substrate resource distribution and virtual network requests, the critical factor of improving success ratio is to reduce resource consumption during embedding.