User-Oriented Energy- and Spectral- Efficiency Tradeoff for Wireless Networks

( Yueying Zhang ),( Hang Long ),( Yuexing Peng ),( Kan Zheng ),( Wenbo Wang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.2

Conventional optimization designs of wireless networks mainly focus on spectral efficiency (SE) as a performance metric. However, as diverse media services are emerging, a green wireless network, which not only meets the quality of experience (QoE) requirements for users and also improves energy efficiency (EE), is the most appropriate solution. In this paper, we firstly propose the unit QoE per Watt, which is termed QoE efficiency (QEE), as a user-oriented metric to evaluate EE for wireless networks. We then analyze which is the kind of wireless resource given priority to use under different scenarios to obtain an acceptable QEE. Particularly, power, delay and data-rate related to QoE are separately addressed for several typical services, such as file download, video stream and web browsing services. Next, the fundamental tradeoffs are investigated between QEE and SE for wireless networks. Our analytical results are helpful for network design and optimization to strike a good balance between the users perceived QoE and energy consumption.

Development and Analysis of a Two-Phase Excitation Switched Reluctance Motor with Novel Winding Distribution Used in Electric Vehicles

Yueying Zhu,Chuantian Yang,Yuan Yue,Chengwen Zhao,Yan Zhang 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.6

Two-phase simultaneous excitation mode of the switched reluctance motor (SRM) has been shown to effectively improve the average torque output compared with traditional single-phase excitation mode. But the torque ripple of the two-phase excitation SRM with traditional winding distribution increases because of the inconsistent electromagnetic field. To reduce the torque ripple, a two-phase excitation 8/6 SRM with novel winding distribution is proposed in this paper. The static torques generated by various magnetic circuits are analyzed and obtained to verify the torque increase. Then the electromagnetic characteristics of the proposed SRM are investigated by the numerical calculation method in detail, including flux linkage, inductance, and torque. Finally, an experiment for measuring the SRM static electromagnetic characteristics and dynamic performance is designed and performed based on the novel mode, and the comparing results show that the proposed two-phase SRM is effective.

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment

Zhou, Yueying,Qiao, Lishan,Li, Weikai,Zhang, Limei,Shen, Dinggang Frontiers Media S.A. 2018 Frontiers in neuroinformatics Vol.12 No.-

<P>Functional connectivity (FC) network has been becoming an increasingly useful tool for understanding the cerebral working mechanism and mining sensitive biomarkers for neural/mental disease diagnosis. Currently, Pearson's Correlation (PC) is the simplest and most commonly used scheme in FC estimation. Despite its empirical effectiveness, PC only encodes the low-order (i.e., second-order) statistics by calculating the pairwise correlations between network nodes (brain regions), which fails to capture the high-order information involved in FC (e.g., the correlations among different edges in a network). To address this issue, we propose a novel FC estimation method based on Matrix Variate Normal Distribution (MVND), which can capture both low- and high-order correlations simultaneously with a clear mathematical interpretability. Specifically, we first generate a set of BOLD subseries by the sliding window scheme, and for each subseries we construct a temporal FC network by PC. Then, we employ the constructed FC networks as samples to estimate the final low- and high-order FC networks by maximizing the likelihood of MVND. To illustrate the effectiveness of the proposed method, we conduct experiments to identify subjects with Mild Cognitive Impairment (MCI) from Normal Controls (NCs). Experimental results show that the fusion of low- and high-order FCs can generally help to improve the final classification performance, even though the high-order FC may contain less discriminative information than its low-order counterpart. Importantly, the proposed method for simultaneous estimation of low- and high-order FCs can achieve better classification performance than the two baseline methods, i.e., the original PC method and a recent high-order FC estimation method.</P>

멤피스 스타일 무빙 포스터 유형에 따른 모션그래픽에 관한 연구

우웨잉(Yueying Wu),이창근(Chang-keun Lee) 한국멀티미디어학회 2022 멀티미디어학회논문지 Vol.25 No.3

Development and Analysis of a Two-Phase Excitation Switched Reluctance Motor with Novel Winding Distribution Used in Electric Vehicles

Zhu, Yueying,Yang, Chuantian,Yue, Yuan,Zhao, Chengwen,Zhang, Yan The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.6

Two-phase simultaneous excitation mode of the switched reluctance motor (SRM) has been shown to effectively improve the average torque output compared with traditional single-phase excitation mode. But the torque ripple of the two-phase excitation SRM with traditional winding distribution increases because of the inconsistent electromagnetic field. To reduce the torque ripple, a two-phase excitation 8/6 SRM with novel winding distribution is proposed in this paper. The static torques generated by various magnetic circuits are analyzed and obtained to verify the torque increase. Then the electromagnetic characteristics of the proposed SRM are investigated by the numerical calculation method in detail, including flux linkage, inductance, and torque. Finally, an experiment for measuring the SRM static electromagnetic characteristics and dynamic performance is designed and performed based on the novel mode, and the comparing results show that the proposed two-phase SRM is effective.

Exponential Stabilization of Takagi–Sugeno Fuzzy Systems With Aperiodic Sampling: An Aperiodic Adaptive Event-Triggered Method

Wang, Yueying,Xia, Yuanqing,Ahn, Choon Ki,Zhu, Yanzheng IEEE 2019 IEEE transactions on systems, man, and cybernetics Vol.49 No.2

<P>In this paper, we study the exponential stabilization problem for continuous-time Takagi–Sugeno fuzzy systems subject to aperiodic sampling. By aiming to transmission reduction, an appropriate aperiodic event-triggered communication scheme with adaptive mechanism is put forward, which covers the existing periodic mechanisms as special cases. For the sake of reduction in design conservativeness, both the available information of sampling behavior and threshold error are fully acquired by constructing a novel time-dependent Lyapunov functional. Then, a new exponential stability criterion is presented to establish the quantitative relationship among the adaptive adjusted event threshold, the decay rate, the upper bound, and the lower bound of variable sampling period, simultaneously. By resorting to a matrix transformation, the corresponding stabilization criterion is further derived by which the sampled-data controller can be obtained. Finally, two illustrative examples are provided to demonstrate the virtue and applicability of proposed design method.</P>

Catalytic hydrogenation of ethyl levulinate into γ-valerolactone over commercial Raney Cu catalyst

Du Yueying,Zhang Chuntao,Li Yang,Zhang Nahui,Ren Dezhang,Huo Zhibao 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.8

An eco-friendly green reaction process was developed to achieve efficient hydrogenation of ethyl levulinate (EL) to γ-valerolactone (GVL) over commercial-available Raney Cu catalyst with H2 as the hydrogen source. Raney Cu presented higher catalytic activity among a series of Cu based and Raney type catalysts. The maximum yield of GVL was 98.3% at 160 °C for 3 h. It was found that Raney Cu had great reusability and could be used at least three times without loss of activity. Moreover, the results of XRD, XPS and ICP confirmed the high stability of the catalyst. A possible reaction pathway was also proposed. Ethanol was the main byproduct in this reaction; this study therefore provides a green and efficient method for the conversion of EL to GVL.

Enhance Transparency of Force Feedback Interaction Series Mechanism by SMC Strategy

Zhi Hu,Yueying Wang,Guohua Cui,Dan Zhang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7

To enhance the fidelity of virtual surgery, the force feedback interaction mechanism would simulatethe force information in real surgery. This paper first introduces evaluation methods of fidelity, then it exploresevaluation methods of force feedback fidelity, and put up the evaluation methods and indexes of force feedbackfidelity. In rigid force feedback interaction mechanism, fidelity is mainly shown as transparency. It means thetransfer function of the mechanism needs approach to 1, while friction, gravity, slip of the linear drive and otherfactors would affect transparency of the mechanism. This study introduces a 5-DOF (degree of freedom) forcefeedback series mechanism with long stroke. It discusses gravity compensation and simulation of typical virtualenvironment. It uses sliding mode control (SMC) to eliminate the effect of parameter variety, inaccurate modelingand other factors to improve system robustness. And it adds disturbance observer to the controller to eliminategravity inaccuracy. Finally, it evaluates the enhancement of force feedback fidelity.

A Study on the Establishment and Application of Citrus Virus-Free Propagation System

Xiaolang Tang,Peiqia Ma,Yueying Du,Min Luo,Wen Wu 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

The Pattern of Natural Regeneration by Canopy Gap Size in the Mixed Broadleaved-Korean Pine Forest of Xiaoxing'an Mountains, China

Jin, Guangze,Tian, Yueying,Zhao, Fengxia,Kim, Ji Hong Korean Society of Forest Science 2007 한국산림과학회지 Vol.96 No.2

The forest canopy gap has been well known as a substantial process of forest cyclic regeneration and important role in stand structure, dynamics, and biodiversity of the forest ecosystem. Based on 3,600 $5m{\times}5m$ square grids in a 9ha permanent experimental plot, the study was conducted to evaluate the regeneration pattern of woody species by developmental stage {seedlings (<1 m of height), saplingI (>1 m of height, <2 cm of DBH), and saplingII (2 cm<DBH<5 cm)} for different size of forest canopy gaps ($<200m^2$), $201-400m^2$, $400-600m^2$, $601-800m^2$, and $>800m^2$) in the mixed broadleaved-Korean pine forest. The results indicated that the regenerating trees of Populus ussuriensis occurred only in the canopy gap area, considered to be a typical gap-dependent species. The regeneration of Ulmus japonica, Ulmus laciniata, and Maackia amurensis could be generally satisfied with the gap size of $201-600m^2$, Betula costata and Prunus padus with gap size of $401-800m^2$, Picea koraiensis with gap size of $201-800m^2$, Fraxinus mandshurica and Syringa reticulata var. mandshurica with smaller than $800m^2$, respectively. Acer ukurunduense and Acer tegmentosum were likely to have no problem with the gap size to make gap regeneration. Acer mono and Tilia amurensis looked more capable of regenerating in the closed canopy disregarding the upper crown condition. The regeneration of Pinus koraiensis and Abies nephrolepis had no trouble under the canopy condition in less than $800m^2$of gap size. The density of regenerating shrubs was rather high, especially under the closed canopy, considered to be associated with great amount of regeneration production in such shade tolerant species as Lonicera maackii, Corylus mandshurica, Euonymus pauciflorus, and Philadelphus schrenkii under the closed canopy. Pearson correlation coefficient was computed to compare the similarity among non-gap area and five gap size classes by developmental stages for trees and shrubs. The similarity coefficients among closed canopy and the gap size classes were mostly significantly correlated to each other with a few exceptions.