Analyzing Spatiotemporal Characteristics of Education Network Traffic with Flexible Multiscale Entropy

Chen Yang,Renjie Zhou,Jian Wan,Jilin Zhang,Yuyu Yin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.5

In this paper, we propose an analysis method of spatial and temporal characteristics of education network traffic based on flexible multiscale entropy (FMSE). As an improved method, flexible multiscale entropy has a significant improvement in stability and accuracy over multiscale entropy (MSE). We analyze network traffic in different time scales, space scales and traffic levels by building network traffic time-space analysis model and using flexible multiscale entropy as a method to quantify complexity of different network traffic subsequences. The results show that there are distinct characteristics in the complexity of different levels of network traffic. We also find that the existence of a large number of small network traffic flows has a significant influence on the complexity of network traffic.

Optimal control strategy for excitation parameters of SRGs

Dou, Yuyu,Chen, Dong The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.6

To solve the inherent contradiction between convergence speed and optimization accuracy in the traditional optimal control strategy for the excitation parameters of SRGs, a novel optimal control strategy for the excitation parameters is proposed. In this strategy, the turn-off angle is fixed at its optimal value and kept constant, and the turn-on angle is optimized through two steps. In the first step, the optimal searching region of the turn-on angle is calculated by a fitting formula. Then in the second step, the golden section algorithm is used to optimize the turn-on angle. Meanwhile, the phase current amplitude is used as the degree of freedom necessary to regulate the generation power. Experimental results indicate that the novel optimal control strategy for excitation parameters can effectively improve convergence speed and efficiency of SRGs.

Synthesis and adsorption properties of H4Ti5O12@CNT ion sieves

Gao Yuyu,Chen Jin,Chu Suihong,Yang Bo,Zheng Lu,Liu Min 대한화학회 2023 Bulletin of the Korean Chemical Society Vol.44 No.11

In this study, H4Ti5O12@CNT ion sieves with an encapsulated structure were fabricated by combining pretreated carbon nanotubes (CNTs) as a template and carbon source, C16H36O4Ti as a titanium source, and CH3COOLi as a lithium source. By characterizing and analyzing the pretreated and untreated CNTs, numerous COOH and OH functional groups were introduced into the pretreated CNTs, which improved their dispersion in aqueous solutions and ethanol and facilitated the adsorption of lithium ions. The ion sieves prepared with the precursor roasted at 700 °C showed the best adsorption performance. Moreover, the structural integrity of the ion sieves was not affected by acid washing. For the first adsorption cycle, the ion sieves had a lithium-ion saturated adsorption capacity of 32.32 mg/g. After five adsorption–desorption cycles, the adsorption capacity only decreased by 5.1% to 30.68 mg/g, which shows that they had good cycling stability.

Deep dechlorination of hydrocarbon oil by reactive adsorption on TiO2-based metal oxides

Hui Niu,Yuyu Feng,Jie Ding,Wei Zhang,Chenxing Hu,Qingxiang Zhang,Chen Zhang,Cuiqing Li 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.7

This study reports reactive adsorptive dechlorination of hydrocarbon oil over TiO2-based metal oxides atthe temperatures of 20-150 oC. TiO2 and a series of TiO2-CeO2 were prepared by precipitation method and characterizedby N2 adsorption, XRD, FT-IR, pyridine-IR, NH3-TPD and CO2-TPD. The characterization results showed thatboth the acidity and basicity of the adsorbent had a significant impact on its dechlorination capacity. TiO2-U precipitatedby urea exhibited higher dechlorination capacity than TiO2-A precipitated by ammonia due to the higher surfacearea, more acid and base amounts of the former. Among various Ti(1x)CexO2 (x=0.1, 0.3, 0.5, 0.7, 0.9, 1) oxides,Ti0.7Ce0.3O2 and Ti0.3Ce0.7O2 bimetallic oxides showed higher dechlorination capacity than TiO2-U, and the chlorineremoval over Ti0.7Ce0.3O2 reached 82.8% after adsorption at 150 oC for 3 h. Mixing 5 wt% of alkali earth metal oxideinto Ti0.7Ce0.3O2 mechanically enhanced its dechlorination capacity, and the chlorine removal over Ti0.7Ce0.3O2-BaOreached as high as 92.1%. The chlorine removal increased with increasing the adsorption temperature. Ion chromatographyand GC-MS analysis revealed that organochlorine compound was converted into Cl and its corresponding alcoholover the adsorbent at 150 oC. Finally, the mechanism of reactive adsorption dechlorination was proposed.

Modeling urban building energy use: A review of modeling approaches and procedures

Li, Wenliang,Zhou, Yuyu,Cetin, Kristen,Eom, Jiyong,Wang, Yu,Chen, Gang,Zhang, Xuesong Elsevier 2017 ENERGY Vol.141 No.-

<P><B>Abstract</B></P> <P>With rapid urbanization and economic development, the world has been experiencing an unprecedented increase in energy consumption and greenhouse gas (GHG) emissions. While reducing energy consumption and GHG emissions is a common interest shared by major developed and developing countries, actions to enable these global reductions are generally implemented at the city scale. This is because baseline information from individual cities plays an important role in identifying economical options for improving building energy efficiency and reducing GHG emissions. Numerous approaches have been proposed for modeling urban building energy use in the past decades. This paper aims to provide an up-to-date review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use. Because there are significant differences across models with varied potential for application, strengths and weaknesses of the reviewed models are also presented. This is followed by a discussion of challenging issues associated with model preparation and calibration.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Advances in urban buildings energy models are reviewed. </LI> <LI> Strengths and weaknesses of urban building energy models are discussed. </LI> <LI> The workflow of physics-based bottom-up models are illuminated. </LI> <LI> Challenges and future research avenues in urban buildings energy use modeling are highlighted. </LI> </UL> </P>

Current Status and Future Trends of Cold Atmospheric Plasma as an Oncotherapy

Dai Xiaofeng,Wu Jiale,Lu Lianghui,Chen Yuyu 한국응용약물학회 2023 Biomolecules & Therapeutics(구 응용약물학회지) Vol.31 No.5

Cold atmospheric plasma (CAP), a redox modulation tool, is capable of inhibiting a wide spectrum of cancers and has thus been proposed as an emerging onco-therapy. However, with incremental successes consecutively reported on the anticancer efficacy of CAP, no consensus has been made on the types of tumours sensitive to CAP due to the different intrinsic characteristics of the cells and the heterogeneous design of CAP devices and their parameter configurations. These factors have substantially hindered the clinical use of CAP as an oncotherapy. It is thus imperative to clarify the tumour types responsive to CAP, the experimental models available for CAP-associated investigations, CAP administration strategies and the mechanisms by which CAP exerts its anticancer effects with the aim of identifying important yet less studied areas to accelerate the process of translating CAP into clinical use and fostering the field of plasma oncology.

Metabolic reprogramming and epigenetic modifications in cancer: from the impacts and mechanisms to the treatment potential

Xu Xuemeng,Peng Qiu,Jiang Xianjie,Tan Shiming,Yang Yiqing,Yang Wenjuan,Han Yaqian,Chen Yuyu,Oyang Linda,Lin Jinguan,Xia Longzheng,Peng Mingjing,Wu Nayiyuan,Tang Yanyan,Li Jinyun,Liao Qianjin,Zhou Yuju 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-

Metabolic reprogramming and epigenetic modifications are hallmarks of cancer cells. In cancer cells, metabolic pathway activity varies during tumorigenesis and cancer progression, indicating regulated metabolic plasticity. Metabolic changes are often closely related to epigenetic changes, such as alterations in the expression or activity of epigenetically modified enzymes, which may exert a direct or an indirect influence on cellular metabolism. Therefore, exploring the mechanisms underlying epigenetic modifications regulating the reprogramming of tumor cell metabolism is important for further understanding tumor pathogenesis. Here, we mainly focus on the latest studies on epigenetic modifications related to cancer cell metabolism regulations, including changes in glucose, lipid and amino acid metabolism in the cancer context, and then emphasize the mechanisms related to tumor cell epigenetic modifications. Specifically, we discuss the role played by DNA methylation, chromatin remodeling, noncoding RNAs and histone lactylation in tumor growth and progression. Finally, we summarize the prospects of potential cancer therapeutic strategies based on metabolic reprogramming and epigenetic changes in tumor cells.