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A Kernel-based Matrixzed One-Class Support Vector Machine
Yanyan Chen,June Yuan,Zhengkun Hu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11
One-class support vector machine (OCSVM) is an important and efficient classifier used when only one class of data is available while others are too expensive or difficult to collect. It uses vector as input data, and trains a linear or nonlinear decision function in vector space. However, the traditional vector-based classifiers may fail when input is matrix. Therefore, it makes sense to study matrixzed classifiers which can make use of the structural information presented in the data. In this paper we propose a matrix-based one-class classification algorithm named Kernel-based Matrixzed One-class Support Vector Machine (KMatOCSVM). It aims to convert the OCSVM to suit for matrix representation data and to deal with nonlinear one-class classification problems. The efficiency and validity of the proposed method is illustrated by four real-world matrix-based human face datasets.
Chen Cui,Gang Yin,Minjie Lu,Xiuyu Chen,Sainan Cheng,Lu Li,Weipeng Yan,Yanyan Song,Sanjay Prasad,Yan Zhang,Shihua Zhao 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.1
Objective: Segmented cardiac cine magnetic resonance imaging (MRI) is the gold standard for cardiac ventricular volumetric assessment. In patients with difficulty in breath-holding or arrhythmia, this technique may generate images with inadequate quality for diagnosis. Real-time cardiac cine MRI has been developed to address this limitation. We aimed to assess the performance of retrospective electrocardiography-gated real-time cine MRI at 3T for left ventricular (LV) volume and mass measurement. Materials and Methods: Fifty-one patients were consecutively enrolled. A series of short-axis cine images covering the entire left ventricle using both segmented and real-time balanced steady-state free precession cardiac cine MRI were obtained. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and LV mass were measured. The agreement and correlation of the parameters were assessed. Additionally, image quality was evaluated using European CMR Registry (Euro-CMR) score and structure visibility rating. Results: In patients without difficulty in breath-holding or arrhythmia, no significant difference was found in Euro-CMR score between the two techniques (0.3 ± 0.7 vs. 0.3 ± 0.5, p > 0.05). Good agreements and correlations were found between the techniques for measuring EDV, ESV, EF, SV, and LV mass. In patients with difficulty in breath-holding or arrhythmia, segmented cine MRI had a significant higher Euro-CMR score (2.3 ± 1.2 vs. 0.4 ± 0.5, p < 0.001). Conclusion: Real-time cine MRI at 3T allowed the assessment of LV volume with high accuracy and showed a significantly better image quality compared to that of segmented cine MRI in patients with difficulty in breath-holding and arrhythmia.
Gravity balance mechanism for a spatial robotic manipulator
Yanyan Chen,Yubin Liu,Changle Li,Gangfeng Liu,Yanhe Zhu,Jie Zhao,Hegao Cai 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.2
A gravity balance mechanism for spatial robotic manipulator is proposed. In this design, a parallelogram linkage mechanism, pulleys and springs are utilized to accomplish the balance. As a passive structure, it needs no motors or actuators, and safety is another great highlight of the mechanism. The balance mechanism can solve the balance problem of both planar 2-link mechanism and spatial 2-link mechanism (a roll-pitch-yaw-roll 2-link mechanism) by adding a rotational degree of freedom. This is a more simple and effective method to solve the balance problem of spatial linkage system, especially the linkage system of multi-degree of freedom joint. And the mechanism can be extended to solve a multilink balance problem.
Linear One-Class Support Tensor Machine
Yanyan Chen,Ping Zhong 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.9
One-class support vector machine is an important and efficient classifier which is used in the situation that only one class of data is available, and the other is too expensive or difficult to collect. It uses vector as input data, and trains a linear or nonlinear decision function in vector space. However, there is reason to consider data as tensor. Tensor representation can make use of the structural information present in the data, which cannot be handled by the traditional vector based classifier. The significant benefit of using tensor as input is the reduction of the number of decision parameters, which can avoid the overfitting problems and especially suitable for small sample and large dimension cases. In this paper we have proposed a tensor based one-class classification algorithm named linear one-class support tensor machine. It aims to find a hyperplane in tensor space with maximal margin from the origin that contains almost all the data of the target class. We demonstrate the performance of the new tensor based classifier on several publicly available datasets in comparison with the standard linear one-class support vector machine. The experimental results indicate the validity and advantage of our tensor based classifier.
Yanyan Tang,Yiding Hu,Yi Li,Haorong Wu,Liangwei Chen,Lan Yu 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.5
A series of layered CuCr1-xMgxO2 (0 ≤ x ≤ 0.08) polycrystalline ceramics were prepared. The effects of substituting Mg2+cations for Cr3+ cations on the grain composition, grain size, grain quantity, and electrical conductivity were investigated. When x = 0–0.04, the distinct layered structure grain grew rapidly with the increase of magnesium in the composition, andthe average grain size increased from 2.5 μm (x = 0) to 15 μm (x = 0.04) due to the decrease of activation energy. Furthermore,the bulk density and lattice constant also reached the maximum and minimum values of 4.367 g/cm3 and 17.083 respectivelyat x = 0.04. When x = 0.05–0.08, the average grain size slightly decreased due to the grown-up second-phase MgCr2O4hindering of grain growth. The results showed that the average size of the second-phase MgCr2O4 had reached 1.3 μm whenx = 0.04. In general, the larger the grain size of polycrystalline ceramics, the more defects in the grain boundaries, and thebetter its electrical conductivity. Therefore, the solid-phase reaction, which can obtain larger grain size and more grainboundary defects, was chosen here to prepare CuCr1-xMgxO2 polycrystalline ceramics, so as to obtain a highly conductiveCuCr1-xMgxO2 ceramic material. The minimum resistivity of the obtained CuCr0.6Mg0.4O2 polycrystalline ceramic is only 0.091Ω·cm, which is of great significance for the development of transparent conductive oxides.
ON COMMUTING GRAPHS OF GROUP RING Z<sub>n</sub>Q<sub>8</sub>
Chen, Jianlong,Gao, Yanyan,Tang, Gaohua Korean Mathematical Society 2012 대한수학회논문집 Vol.27 No.1
The commuting graph of an arbitrary ring R, denoted by ${\Gamma}(R)$, is a graph whose vertices are all non-central elements of R, and two distinct vertices a and b are adjacent if and only if ab = ba. In this paper, we investigate the connectivity, the diameter, the maximum degree and the minimum degree of the commuting graph of group ring $Z_nQ_8$. The main result is that $\Gamma(Z_nQ_8)$ is connected if and only if n is not a prime. If $\Gamma(Z_nQ_8)$ is connected, then diam($Z_nQ_8$)= 3, while $\Gamma(Z_nQ_8)$ is disconnected then every connected component of $\Gamma(Z_nQ_8)$ must be a complete graph with a same size. Further, we obtain the degree of every vertex in $\Gamma(Z_nQ_8)$, the maximum degree and the minimum degree of $\Gamma(Z_nQ_8)$.
Kaixuan Chen,Xiang Zhang,Shuping He,Kaibo Shi,Yanyan Yin 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.11
This paper investigates the filtering-based asynchronous fault detection problem for a class of continuoustime conic-type nonlinear semi-Markov jump systems via adaptive event-triggered approach. Firstly, the asynchrony of filter modes and system modes are described by a hidden semi-Markov model. Secondly, an adaptive eventtriggered scheme is developed to reduce the transmissions from the system to the designed filter and improve the efficiency of data transmission. Then, by applying linear matrix inequalities techniques, sufficient conditions are obtained to ensure the stochastic stability and H∞ performance of the fault detection system. Finally, a tunnel diode circuit model is given to confirm the accuracy and effectiveness of the designed approach.
Ma Yanyan,Zhang Weida,CHENGSHAOBO,Yang Wanting,Liu Yuxing,Yang Shengyu,Zhang Xinling,Guo Minrui,Chen Guogang 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.6
Prunus domestica L. cv. Ximei fruit perishes quickly due to intense metabolic activity after being harvested. To prolong shelf life and maintain fruit quality, the eff ects of 1-methylcyclopropene (1-MCP) treatment on P. domestica fruit during storage at 4 ± 1 °C were investigated. The results showed that the soluble solid content (SSC), respiratory rate (29.8%), ethylene production (27.2%), anthocyanin content, malonaldehyde content (MDA), hydrogen peroxide content (H 2O2), and superoxide anion activity (O 2·−) of P. domestica fruit were all signifi cantly reduced by 1-MCP treatment (1.0 μL L −1), while the content of ascorbic acid and total phenol, and the activity of SUPEROXIDE DISMUTASE (SOD, 61.3%), CATALASE (CAT, 39.0%), ASCORBATE PEROXIDASE (APX, 23.7%), and PEROXIDASE (POD, 38.0%) increased compared to untreated fruit after 35 days of cold storage. Overall, 1-MCP treatment could maintain high postharvest quality and anti- oxidant activity in P. domestica fruit