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Meng Zhao,Gui-Xin Wang,Xiu-Li Li,Rui Liu,Kang-Ping Yan 대한금속·재료학회 2010 METALS AND MATERIALS International Vol.16 No.6
Microscale Fe-P alloy was prepared using Ca3(PO4)2 and Fe2O3 in an electrothermal reduction process, and the electrochemical performance was investigated in detail. The initial discharge capacity could reach ~566.8mAh/g at 0.3 C rate, and the fade trend was so slight that the normalized capacities from 1.0 to 2.0 C rate were adjacent. The energy density and the power density could reach ~1133.6 Wh/kg and ~912.4 W/kg,respectively. The rate capability and the cycle performance were comparable to those of the Fe-P alloy synthesized using zerovalent iron and phosphorus. At 0.5 mV/s scan rate, the oxidation peak and the reduction peak for the reaction of lithium ions with P were positioned at ~1.3 and ~0.5 V, respectively. The reaction occurred under diffusion control, and the lithium ion diffusion efficient was ~1.5×10−9 cm2/s.
Establishment of a novel experimental model of infected anal fistula in rat
Meng Zhao,Aitong Wang,Leisheng Zhang,Hao Yu 한국실험동물학회 2022 Laboratory Animal Research Vol.38 No.2
Refractory Crohn's-like enterocutaneous fistula indicates the aggressive manifestation and lead to poor prognosis of patients. The development of multidisciplinary strategies for fistula administration largely subjects to the deficiency of animal model for disease remodeling and the underlying pathogenic mechanism. For the purpose, infected anal fistula model was conducted by BLV single-core electrolytic aluminum combined with dextran sodium sulfate. Notably, the inflammatory granulation tissue and inflammatory cell infiltration in the perianal tissue were arised on day 7 of the model by utilizing the Hematoxylin–eosin staining. With the aid of magnetic resonance imaging and signals of high-brightness. We intuitively observed the thickening and edema appeared in the fistula wall, which collectively suggested the formation of a fistula in the perianal area of the rat. Distinguish from the current models of anal fistula modeling including the body surface of fistula, backside of fistula and drainage wire of fistula, our model revealed multifaceted advantages such as quicker generation, higher modeling rate, preferable stability, better consistency, cost-effective, and in particular, more convenient to mimic clinical manifestations of anal fistula.
Robust Contractive Economic MPC for Nonlinear Systems with Additive Disturbance
Meng Zhao,Can-Chen Jiang,Ming-Hong She 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
This article presents two novel robust contractive economic model predictive control (EMPC) algorithms with guaranteed input-to-state stability for nonlinear disturbed systems. Specifically, the first one adopts the nonquadratic economic objective function and implements the control sequence in block fashion, i.e., re-optimizing after all N control laws being applied. The second one takes receding horizon optimization strategy and only apply the first element in control sequence at each step. By appropriately chosen the contraction rate P in contractive constraint, the closed-loop system under each control algorithm is proven to be input-to-state stable. In order to illustrate the efficiency of proposed algorithms, a disturbed CSTR model is utilized.
New Weighting Factor of 2D Isotropic-Dispersion Finite Difference Time Domain(ID-FDTD) Algorithm
Meng Zhao,Il-Suek Koh 한국전자파학회JEES 2008 Journal of Electromagnetic Engineering and Science Vol.8 No.4
In this paper, a new scheme to calculate the weighting factor of the 2-D isotropic-dispersion finite difference time domain(ID-FDTD) is proposed. The weighting factor in [1] was formulated in free space, so that it may not be optimal in dielectric media. Therefore, the weighting factor was reformulated by considering the material properties and using the least mean square method. As a result, a minimum numerical dispersion error for any dielectric media is guaranteed.
DRAM-PCM 하이브리드 메인 메모리에 대한 동적 다항식 회귀 프리페처
( Mengzhao Zhang ),김정근 ( Jung-geun Kim ),김신덕 ( Shin-dug Kim ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
This research is to design an effective prefetching method required for DRAM-PCM hybrid main memory systems especially used for big data applications and massive-scale computing environment. Conventional prefetchers perform well with regular memory access patterns. However, workloads such as graph processing show extremely irregular memory access characteristics and thus could not be prefetched accurately. Therefore, this research proposes an efficient dynamical prefetching algorithm based on the regression method. We have designed an intelligent prefetch engine that can identify the characteristics of the memory access sequences. It can perform regular, linear regression or polynomial regression predictive analysis based on the memory access sequences' characteristics, and dynamically determine the number of pages required for prefetching. Besides, we also present a DRAM-PCM hybrid memory structure, which can reduce the energy cost and solve the conventional DRAM memory system's thermal problem. Experiment result shows that the performance has increased by 40%, compared with the conventional DRAM memory structure.