Modeling and Simulation of Scheduling Medical Materials Using Graph Model for Complex Rescue

Ming Lv,Jingchen Zheng,Qingying Tong,Jinhong Chen,Haoting Liu,Yun Gao 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.5

A new medical materials scheduling system and its modeling method for the complex rescue are presented. Different from other similar system, first both the BeiDou Satellite Communication System (BSCS) and theSpecial Fiber-optic Communication Network (SFCN) are used to collect the rescue requirements and thelocation information of disaster areas. Then all these messages will be displayed in a special medical softwareterminal. After that the bipartite graph models are utilized to compute the optimal scheduling of medicalmaterials. Finally, all these results will be transmitted back by the BSCS and the SFCN again to implement afast guidance of medical rescue. The sole drug scheduling issue, the multiple drugs scheduling issue, and thebackup-scheme selection issue are all utilized: the Kuhn-Munkres algorithm is used to realize the optimalmatching of sole drug scheduling issue, the spectral clustering-based method is employed to calculate theoptimal distribution of multiple drugs scheduling issue, and the similarity metric of neighboring matrix isutilized to realize the estimation of backup-scheme selection issue of medical materials. Many simulationanalysis experiments and applications have proved the correctness of proposed technique and system.

Modeling and Simulation of Scheduling Medical Materials Using Graph Model for Complex Rescue

Lv, Ming,Zheng, Jingchen,Tong, Qingying,Chen, Jinhong,Liu, Haoting,Gao, Yun Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.5

A new medical materials scheduling system and its modeling method for the complex rescue are presented. Different from other similar system, first both the BeiDou Satellite Communication System (BSCS) and the Special Fiber-optic Communication Network (SFCN) are used to collect the rescue requirements and the location information of disaster areas. Then all these messages will be displayed in a special medical software terminal. After that the bipartite graph models are utilized to compute the optimal scheduling of medical materials. Finally, all these results will be transmitted back by the BSCS and the SFCN again to implement a fast guidance of medical rescue. The sole drug scheduling issue, the multiple drugs scheduling issue, and the backup-scheme selection issue are all utilized: the Kuhn-Munkres algorithm is used to realize the optimal matching of sole drug scheduling issue, the spectral clustering-based method is employed to calculate the optimal distribution of multiple drugs scheduling issue, and the similarity metric of neighboring matrix is utilized to realize the estimation of backup-scheme selection issue of medical materials. Many simulation analysis experiments and applications have proved the correctness of proposed technique and system.

Capture of CO2 from coal using chemical-looping combustion: Process simulation

Ming Luo,Shuzhong Wang,Jiabin Zhu,Longfei Wang,Mingming Lv 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.3

Coal direct chemical-looping combustion (CLC) and coal gasification CLC processes are the two basicapproaches for the application of the CLC technology with coal. Two different combined cycles with the overall thermalinput of 1,000MW (LHV) were proposed and simulated, respectively, with NiO/NiAl2O4 as an oxygen carrierusing the ASPEN software. The oxygen carrier circulation ratio in two CLC processes was calculated, and the influenceof the CLC process parameters on the system performance such as air reactor temperature and the turbine inletsupplementary firing temperature was investigated. Results found were that the circulation ratio of the oxygen carrierin the coal gasification CLC process is smaller than that in the coal direct CLC process. In the coal direct CLCcombined system, the system efficiency is 49.59% with the CO2 capture efficiency of almost 100%, assuming the airreactor temperature at 1,200 oC and the fuel reactor temperature at 900 oC. As a comparison, the system efficiency ofcoal gasification CLC combined system is 40.53% with the CO2 capture efficiency of 85.2% when the turbine inlet temperatureis at 1,350 oC. Increasing the supplementary firing rate or decreasing the air reactor temperature can increasethe system efficiency, but these will reduce the CO2 capture efficiency.

Detection of Listeria monocytogenes in CSF from Three Patients with Meningoencephalitis by Next-Generation Sequencing

Ming Yao,Jiali Zhou,Yicheng Zhu,Yinxin Zhang,Xia Lv,Ruixue Sun,Ao Shen,Haitao Ren,Liying Cui,Hongzhi Guan,Honglong Wu 대한신경과학회 2016 Journal of Clinical Neurology Vol.12 No.4

Background and Purpose Encephalitis caused by Listeria monocytogenes (L. monocyto¬genes) is rare but sometimes fatal. Early diagnosis is difficult using routine cerebrospinal flu¬id (CSF) tests, while next-generation sequencing (NGS) is increasingly being used for the detection and characterization of pathogens. Methods This study set up and applied unbiased NGS to detect L. monocytogenes in CSF collected from three cases of clinically suspected listeria meningoencephalitis. Results Three cases of patients with acute/subacute meningoencephalitis are reported. Magnetic resonance imaging and blood cultures led to a suspected diagnosis of L. monocy¬togenes, while the CSF cultures were negative. Unbiased NGS of CSF identified and se¬quenced reads corresponding to L. monocytogenes in all three cases. Conclusions This is the first report highlighting the feasibility of applying NGS of CSF as a diagnostic method for central nervous system (CNS) L. monocytogenes infection. Routine application of this technology in clinical microbiology will significantly improve diagnostic methods for CNS infectious diseases.

Mechanical Resonance Suppression in Servo System Based on The Fractional Order Low-pass Filter

Ming Yang,Yongjian Fu,Xin Lv,Dianguo Xu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

The conventional filter method could effectively suppress resonance in servo system without backlash. But when the system contains backlash, the methods may fail. In this paper, a fractional order low-pass filter substitutes the integer order low-pass in a dual-inertia servo system with backlash to solve the problem. Fractional algorithm provides greater flexibility for robust control design, because it makes the order of the low-pass filter from integer domain to real-number domain. Fractional order low-pass filter can achieve a better tradeoff between robustness and resonance suppression by selecting the appropriate order. For implementation of the fractional order, Oustaloup recursive approximation method is introduced. Experimental results show that fractional-order low-pass filter can improve robustness while suppressing system resonance.

Polymerization of Vinyl Acetate Initiated by Hydrosilane in the Presence of Platinum Complex

Ming Yuan,Wenxian Zhu,Jiaxing Lv,Panpan Zhang,Huadong Tang 한국고분자학회 2021 폴리머 Vol.45 No.3

In this work, a series of hydrosilanes including phenylsilane, diphenylsilane, triethylsilane (TES), and tris(trimethylsilyl)silane combined with catalytical amount of platinum complex such as dichloro(1,5-cyclooctadiene) platinum (COD) and dichloro(dicyclopentadienyl)platinum have been used to initiate the polymerization of vinyl acetate (VAc) at 70-95 ℃. An ultrahigh molecular weight PVAc with number-average molecular weight (Mn) up to 1.17×10<SUP>6</SUP> Da and polydispersity index (PDI) of 2.59 has been synthesized using TES as an initiator in the presence of 9.7 ppm of COD. A kinetic study indicates that the polymerization at VAc/TES/COD molar ratio = 3.0×10<SUP>5</SUP> : 60 : 1 smoothly reached 81.0% conversion in 28.0 h at 85 ℃, producing PVAc with Mn increasing linearly from 1.41×105 to 6.01×10<SUP>5</SUP> Da with the increase of monomer conversion. A mechanistic investigation revealed that COD was firstly reduced by reductive TES, producing Pt nanoparticles and corresponding silane radicals to initiate the polymerization of VAc.

카본블래랙과 탄소섬유를 포함하는 에폭시 복합체의 마이크로파 흡수 특성

Xiao Lv,Sheng Lin Yang,Jun Hong Jin,Ling Zhang,Guang Li,Jian Ming Jiang 한국고분자학회 2009 폴리머 Vol.33 No.5

A new absorbing foam concrete: preparation and microwave absorbing properties

Xingjun, Lv,Mingli, Cao,Yan, Li,Xin, Li,Qian, Li,Rong, Tang,Qi, Wang,Yuping, Duan Techno-Press 2015 Advances in concrete construction Vol.3 No.2

The foam concrete was fabricated by adding the foaming agent which composite ordinary Portland cement with plant and animal protein into cement paste, and the electromagnetic wave absorption properties were studied for the first time as well. The studies showed that the electromagnetic waves can be absorbed by multiple reflections and scattering within the porous material. Thickness and filling ratio have a great influence on the electromagnetic wave absorbing properties in 2-18 GHz of the foam concrete, the greater the thickness, the better the performance of absorption; filling ratio was about 52 vol.%, the absorbing properties achieved the best.

Subjective Imaging Effect Assessment for Intelligent Imaging Terminal Design: a Method for Engineering Site

( Haoting Liu ),( Ming Lv ),( Weiqun Yu ),( Zhenhui Guo ),( Xin Li ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.3

A kind of Subjective Imaging Effect Assessment (SIEA) method and its applications on intelligent imaging terminal design in engineering site are presented. First, some visual assessment indices are used to characterize the imaging effect: the image brightness, the image brightness uniformity, the color image contrast, the image edge blur, the image color difference, the image saturation, the image noise, and the integrated imaging effect index. A linear weighted function is employed to carry out the SIEA computation and the Analytic Hierarchy Process (AHP) technique is used to estimate its weights. Second, a SIEA software is developed. It can play images after the settings of assessment index or assessment reaction time, etc. Third, two cases are used to illustrate the application effects of proposed method: the image enhancement system design for surveillance camera and the imaging environment perception system design for intelligent lighting terminal. A Prior Sequential Stimulus (PSS) experiment is proposed to improve the evaluation stability of SIEA method. Many experiment results have shown the proposed method can realize a stable system design or parameters setting for the intelligent imaging terminal in engineering site.

Fabrication of Nitrogen-Doped Graphene Quantum Dots-Cu2O Catalysts for Enhanced Photocatalytic Hydrogen Evolution

Yilin Wu,Ming Yan,Jia Gao,Peng Lv,XINLIN LIU,Chunxiang Li,Yongsheng Yan 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.08

Development of efficient visible light driven photocatalysts for water splitting has attracted great research interest. Herein, a novel H2-producing nitrogen-doped graphene quantum dots (NGQDs)-Cu2O was successfully constructed and synthesized. The as-prepared NGQDs-Cu2O photocatalysts were benefited for light harvesting and charge separation and showed highly efficient photocatalytic property for hydrogen production by water splitting. Results displayed that the amount of NGQDs exhibited significant influence for H2 production, and the optimum sample of 3%NGQDs-Cu2O performed the highest hydrogen-evolution rate of 22.6 μmol h -1 g -1, which was about 2 times higher than that of the pure Cu2O (10.1 μmol h -1 g -1). By further study, the enhanced photocatalytic performance could be ascribed to the crucial role of NGQDs, which widely improve the separation of photogenerated electron-hole pair's.