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H<SUB>∞</SUB> Filtering for Descriptor Systems
Yue-Peng Chen,Zu-De Zhou,Chun-Nian Zeng,Qing-Ling Zhang 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.6
The paper is concerned with H∞ filtering for descriptor systems. A necessary and sufficient condition is established in terms of linear matrix inequalities (LMIs) for the existence of normal filters such that the error systems are admissible and the transfer function from the disturbance to the filtering error output satisfies a prescribed H∞-norm bound constraint. When these LMIs are feasible, an explicit parameterization expression of all desired normal filter is given. All these results are yielded without decomposing the original descriptor systems, which makes the filter design procedure simple and direct. Finally, a numerical example is derived to demonstrate the applicability of the proposed approach.
An Improved Multi-Objective Optimization Algorithm Based on NPGA for Cloud Task Scheduling
Peng Yue,Xue Shengjun,Li Mengying 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.4
As a commercial distributed computing mode, cloud computing needs to meet the quality of service (QoS) requirement of users, which is its top priority. However, cloud computing service providers also need to consider how to reduce the overhead of data center, and keep load balancing is one of the key points to maximize the use of the resource in the data center. In this paper, we propose an improved multi-objective niched Pareto genetic algorithm (NPGA) to take load balancing into consideration without affecting performance of time consumption and financial cost of handling the user’s cloud computing tasks by presenting the load balancing shift mutation operator. The simulation results and analysis show that the proposed algorithm performs better than NPGA in maintaining the diversity and the distribution of the Pareto-optimal solutions in the cloud tasks scheduling under the same population size and evolution generation.
Extreme Spillover Effects of Volatility Indices
( Yue Peng ),( Wing Lon Ng ) 한양대학교 경제연구소 2012 JOURNAL OF ECONOMIC RESEARCH Vol.17 No.1
In this study, we analyse contagion effects and extreme co-movements of equity and volatility indices in major international markets. The tail dependence coefficients (TDCs) increase during a financial crisis, especially for the lower TDCs of stock index returns and upper TDCs of volatility index returns. This indicates that crashes and fluctuations are easier to transmit between markets during turmoils, implying the existence of contagion. In particular, we find that the crash events transmit from the Japanese market to other markets, whereas booms are more likely to transmit from the US and Europe to Japan.
CONCEPTUALISATION OF AVATAR-ENABLED CONSUMER COMMUNICATIONS IN THE METAVERSE
Yue Peng,Shintaro Okazaki,Prokriti Mukherji 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07
The metaverse has become a trendy topic for both academics and practitioners in recent years. While the metaverse is still in a developmental stage, it is anticipated that it will bring significant changes to the existing paradigm in marketing, information system, psychology and many other disciplines (Dwivedi et al., 2022)
Liu Peng,Liu Wen,Li Qiang,Yang Li,Duan Min,Dai Yue 보안공학연구지원센터 2014 International Journal of u- and e- Service, Scienc Vol.7 No.6
For the problem that the use effect of food processing information system is poor due to absence of knowledge acquisition measures and knowledge self-updating function, a knowledge acquisition approach based on rough set is put forward. First, the approach establishes a set of predicted samples for the relationship between food processing parameters and product quality; then uses the discretization of continuous attribute, attribute reduction and rule extraction algorithm of rough set to acquire automatically predicted knowledge from a large number of predicted sample sets, and then saves the predicted knowledge in the knowledge base of expert system; finally, realizes the extraction of knowledge of food processing process based on the inference engine, which greatly enhances the effectiveness and practicality of the acquired knowledge in online aided decision system of the food processing quality and safety.
Strain energy-based fatigue life prediction under variable amplitude loadings
Shun-Peng Zhu,Peng Yue,José Correia,Sergio Blasón,Abílio De Jesus,Qingyuan Wang 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.2
With the aim to evaluate the fatigue damage accumulation and predict the residual life of engineering components under variable amplitude loadings, this paper proposed a new strain energy-based damage accumulation model by considering both effects of mean stress and load interaction on fatigue life in a low cycle fatigue (LCF) regime. Moreover, an integrated procedure is elaborated for facilitating its application based on S-N curve and loading conditions. Eight experimental datasets of aluminum alloys and steels are utilized for model validation and comparison. Through comparing experimental results with model predictions by the proposed, Miner’s rule, damaged stress model (DSM) and damaged energy model (DEM), results show that the proposed one provides more accurate predictions than others, which can be extended for further application under multi-level stress loadings.
Chen Peng,Luo Xiaojun,Dai Guanqi,Jiang Yuchuan,Luo Yue,Peng Shuang,Wang Hao,Xie Penghui,Qu Chen,Lin Wenyu,Hong Jian,Ning Xue,Li Aimin 생화학분자생물학회 2020 Experimental and molecular medicine Vol.52 No.-
Dexmedetomidine (DEX) is an anesthetic that is widely used in the clinic, and it has been reported to exhibit paradoxical effects in the progression of multiple solid tumors. In this study, we sought to explore the mechanism by which DEX regulates hepatocellular carcinoma (HCC) progression underlying liver fibrosis. We determined the effects of DEX on tumor progression in an orthotopic HCC mouse model of fibrotic liver. A coculture system and a subcutaneous xenograft model involving coimplantation of mouse hepatoma cells (H22) and primary activated hepatic stellate cells (aHSCs) were used to study the effects of DEX on HCC progression. We found that in the preclinical mouse model of liver fibrosis, DEX treatment significantly shortened median survival time and promoted tumor growth, intrahepatic metastasis and pulmonary metastasis. The DEX receptor (ADRA2A) was mainly expressed in aHSCs but was barely detected in HCC cells. DEX dramatically reinforced HCC malignant behaviors in the presence of aHSCs in both the coculture system and the coimplantation mouse model, but DEX alone exerted no significant effects on the malignancy of HCC. Mechanistically, DEX induced IL-6 secretion from aHSCs and promoted HCC progression via STAT3 activation. Our findings provide evidence that the clinical application of DEX may cause undesirable side effects in HCC patients with liver fibrosis.
GRAPHENE AS TUNABLE STATIONARY PHASE ADDITIVE FOR ENANTIOSEPARATION
FEI-YUE TU,LIN-YAN YU,JIN-GANG YU,XIAOQING CHEN,QIANG FU,FEI-PENG JIAO,ZHI-GUANG PENG,TING ZHANG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2013 NANO Vol.8 No.6
Graphene-based biosensor and chiral sensor have made significant progress in recent years. Because of the similarity of the optical enantiomers, enantioseparation is perhaps the most subtle to achieve. Developing more effectively chiral separation techniques based on graphene is highly desirable. Herein, pristine graphene was prepared and then applicated to assist resolution of two racemic drugs of propranolol and ofloxacin using thin-layer chromatography (TLC). In comparison with TLC chiral separation by only using pure D-(-)-tartaric acid as a selector with relatively low degree of separation, a mixture of graphene and D-(-)-tartaric acid is more attractive, efficient and ready available. The high specific resolution ability for racemic compounds aided by graphene might allow its potential application in future chiral separation technologies.
Strain energy-based fatigue life prediction under variable amplitude loadings
Zhu, Shun-Peng,Yue, Peng,Correia, Jose,Blason, Sergio,De Jesus, Abilio,Wang, Qingyuan Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.66 No.2
With the aim to evaluate the fatigue damage accumulation and predict the residual life of engineering components under variable amplitude loadings, this paper proposed a new strain energy-based damage accumulation model by considering both effects of mean stress and load interaction on fatigue life in a low cycle fatigue (LCF) regime. Moreover, an integrated procedure is elaborated for facilitating its application based on S-N curve and loading conditions. Eight experimental datasets of aluminum alloys and steels are utilized for model validation and comparison. Through comparing experimental results with model predictions by the proposed, Miner's rule, damaged stress model (DSM) and damaged energy model (DEM), results show that the proposed one provides more accurate predictions than others, which can be extended for further application under multi-level stress loadings.
Wen-wu Huang,Xiaobo Li,Meng Yue Wang,Hai-ming Shi,Ying Peng,Chong-sheng Peng,Min Zhang,Yue Li,Jing Lu 대한약학회 2012 Archives of Pharmacal Research Vol.35 No.11
Two HPLC methods with diode array detection (HPLC-DAD) and electrospray ionization-mass spectrometry (HPLC-ESI/MS), respectively, were developed to investigate the differences of chemical constituents and their metabolism in gastrointestinal tract in vitro between two decoctions of crude and processed Glycyrrhizae radix. Total of eleven constituents (liquiritin apioside, liquiritin, licuraside, isoliquiritin, ononin, glycyrrhizin, liquiritigenin-7,4'-diglucoside, licorice saponin A3, 22β-acetoxylglycyrrhizic acid, licorice saponin G2, and yunganoside E2) were identified in the two decoctions, whereas lower contents of these constituents were usually found in the decoction of processed G. radix. Furthermore, these constituents were metabolized into their respective aglycons in human intestinal bacteria juice, and the metabolism ratios were all higher in processed G. radix decoction. No change was found in artificial gastric or intestinal juice. This study revealed that the processing can alter the contents of main constituents in crude G. radix and their metabolism in gastrointestinal tract, in which intestinal bacteria play an important role in the metabolism of licorice constituents.