Highly Chemo- and Regioselective Reaction of Hydroxybenzenes in Acidic Ionic Liquid

Guo, Hui,Zhuang, Yu Wei,Cao, Jian,Zhang, Guo Bao Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.9

Highly chemo- and regioselective reaction of hydroxybenzenes with ${\alpha},{\beta}$-unsaturated compounds in acidic ionic liquid l-butyl-3-methylimidazolium hydrogen sulphate ([BMIM]HSO4) was reported for the first time. A series of oxa-Michael adducts and Friedel-Crafts alkylated products were synthesized with good yields. The acidic ionic liquid could be easily recycled for at least 5 times with only minor loss in activity.

Verification of OpenMC for fast reactor physics analysis with China experimental fast reactor start-up tests

Guo Hui,Huo Xingkai,Feng Kuaiyuan,Gu Hanyang 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10

High-fidelity nuclear data libraries and neutronics simulation tools are essential for the development of fast reactors. The IAEA coordinated research project on “Neutronics Benchmark of CEFR Start-Up Tests” offers valuable data for the qualification of nuclear data libraries and neutronics codes. This paper focuses on the verification and validation of the CEFR start-up modelling using OpenMC Monte-Carlo code against the experimental measurements. The OpenMC simulation results agree well with the measurements in criticality, control rod worth, sodium void reactivity, temperature reactivity, subassembly swap reactivity, and reaction distribution. In feedback coefficient evaluations, an additional state method shows high consistency with lower uncertainty. Among 122 relative errors in the benchmark of the distribution of nuclear reaction, 104 errors are less than 10% and 84 errors are less than 5%. The results demonstrate the high reliability of OpenMC for its application in fast reactor simulations. In the companion paper, the influence of cross-section libraries is investigated using neutronics modelling in this paper

Influence of nuclear data library on neutronics benchmark of China experimental fast reactor start-up tests

Guo Hui,Jin Xin,Huo Xingkai,Gu Hanyang,Wu Haicheng 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10

Nuclear data is the basis of reactor physics analysis. This paper aim at studying the influence of major evaluated nuclear data libraries, CENDL-3.2, ENDF/B-VIII.0, JEFF-3.3, and JENDL-4.0u, on the neutronics modelling of CEFR start-up tests. Results show these four libraries have a good performance and consistency in the modelling CEFR start-up tests. The JEFF-3.3 results exhibit only an 8 pcm keff difference with the measurement. The difference in criticality is decomposed by nuclide, which shows the large overestimation of CENDL-3.2 is mainly from the cross-section of 52Cr. Except for few cases, the calculation results are within 1s of measurement uncertainty in control rod worth, sodium void reactivity, temperature reactivity, and subassembly swap reactivity. In the evaluation of axial and radial reaction distribution, there are about 65% of relative errors that are less than 5% and 82% of relative errors that are less than 10%

Appearance-Order-Based Schema Matching

Guohui Ding,Keyan Cao,Guoren Wang,Dong Han 한국정보과학회 2014 Journal of Computing Science and Engineering Vol.8 No.2

Schema matching is widely used in many applications, such as data integration, ontology merging, data warehouse and dataspaces. In this paper, we propose a novel matching technique that is based on the order of attributes appearing in the schema structure of query results. The appearance order embodies the extent of the importance of an attribute for the user examining the query results. The core idea of our approach is to collect statistics about the appearance order of attributes from the query logs, to find correspondences between attributes in the schemas to be matched. As a first step, we employ a matrix to structure the statistics around the appearance order of attributes. Then, two scoring functions are considered to measure the similarity of the collected statistics. Finally, a traditional algorithm is employed to find the mapping with the highest score. Furthermore, our approach can be seen as a complementary member to the family of the existing matchers, and can also be combined with them to obtain more accurate results. We validate our approach with an experimental study, the results of which demonstrate that our approach is effective, and has good performance.

Temperature dependent buckling analysis of graded porous plate reinforced with graphene platelets

Guohui Wei,Vahid Tahouneh 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.39 No.3

The main purpose of this research work is to investigate the critical buckling load of functionally graded (FG) porous plates with graphene platelets (GPLs) reinforcement using generalized differential quadrature (GDQ) method at thermal condition. It is supposed that the GPL nanofillers and the porosity coefficient vary continuously along the plate thickness direction. Generally, the thermal distribution is considered to be nonlinear and the temperature changing continuously through the thickness of the nanocomposite plates according to the power-law distribution. To model closed cell FG porous material reinforced with GPLs, Halpin-Tsai micromechanical modeling in conjunction with Gaussian-Random field scheme are used, through which mechanical properties of the structures can be extracted. Based on the third order shear deformation theory (TSDT) and the Hamilton’s principle, the equations of motion are established and solved for various boundary conditions (B.Cs). The fast rate of convergence and accuracy of the method are investigated through the different solved examples and validity of the present study is evaluated by comparing its numerical results with those available in the literature. A special attention is drawn to the role of GPLs weight fraction, GPLs patterns through the thickness, porosity coefficient and distribution of porosity on critical buckling load. Results reveal that the importance of thermal condition on of the critical load of FGP-GPL reinforced nanocomposite plates.

New Solution to Critical Injector-Producer Spacing Shaped Invert 9-Spot Area Well Pattern for Low-Permeability Reservoir

Guohui Qu,Yuanlin Meng,Guiyuan Ren 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.4

In view of the improper injector--producer spacing and low producing degree of low-permeability reservoir, according to water flooding characteristics of low-permeability with invert 9-spot well pattern, areal sweeping efficiency formula was adopted to calculate the areal sweeping efficiency for reservoir area; multiple linear regression was used to fit the mathematic model of areal sweeping efficiency, which was then used to work out the critical injector producer spacing under different injection-production pressure difference. Meanwhile, effective drainage factor was also used to calculate critical injector producer spacing, whose credibility of fitting data more than 95%. The computed results can be used to adjust the injector producer spacing of poor reservoirs and improve production efficiency of thin and poor reservoirs. Comparison of the data that include differential pressure, permeability, threshold pressure gradient, reasonable injection-production well pattern and space. etc from one block, in which injection pressure is high and difficult injection, which adjust well pattern and space can alleviate injection-production problem, and also estimation all the factors except water-sensitivity. etc.

Personalized Recommendation Algorithm of Interior Design Style Based on Local Social Network

Guohui Fan,Chen Guo 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.5

To upgrade home style recommendations and user satisfaction, this paper proposes a personalized and optimizedrecommendation algorithm for interior design style based on local social network, which includes dataacquisition by three-dimensional (3D) model, home-style feature definition, and style association mining. Through the analysis of user behaviors, the user interest model is established accordingly. Combined with thelocation-based social network of association rule mining algorithm, the association analysis of the 3D modeldataset of interior design style is carried out, so as to get relevant home-style recommendations. The experimentalresults show that the proposed algorithm can complete effective analysis of 3D interior home style withthe recommendation accuracy of 82% and the recommendation time of 1.1 minutes, which indicates excellentapplication effect.

Numerical Prediction of Unsteady Turbulent Flow and Pressure Fluctuation in an Axial-flow Pump by LES

Guohui Cong,Fujun Wang,Ling Zhang 한국전산유체공학회 2006 한국전산유체공학회 학술대회논문집 Vol.2006 No.5

Generalized Likelihood Ratio Test For Cyclostationary Multi-Antenna Spectrum Sensing

( Guohui Zhong ),( Jiaming Guo ),( Daiming Qu ),( Tao Jiang ),( Jingchao Sun ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8

In this paper, a generalized likelihood ratio test (GLRT) is proposed for cyclostationary multi-antenna spectrum sensing in cognitive radio systems, which takes into account the cyclic autocorrelations obtained from all the receiver antennas and the cyclic cross-correlations obtained from all pairs of receiver antennas. The proposed GLRT employs a different hypotheses problem formulation and a different asymptotic covariance estimation method, which are proved to be more suitable for multi-antenna systems than those employed by the Dandawate-Giannakis algorithm. Moreover, we derive the asymptotic distributions of the proposed test statistics, and prove the constant false alarm rate property of the proposed algorithm. Extensive simulations are conducted, showing that the proposed GLRT can achieve better detection performance than the Dandawate-Giannakis algorithm and its extension for multi-antenna cases.

^(64)Zn and ^(67)Zn (n,α) Reactions in the MeV Neutron Energy Region

Guohui Zhang,Jiaguo Zhang,Hao Wu,Jiaming Liu,Jinxiang Chen,Yuri Gledenov,Milana Sedysheva,Gonchigdorj Khuukhenkhuu,Pavel Szalanski 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

Nuclear reactions of ^(64)Zn(n,α)^(61)Ni and ^(67)Zn(n,α)^(64)Ni are important because they are gas pro-duction reactions and zinc is a reactor constituent element with a signicant fraction. But the cross section data of these reactions are scanty because the residual nuclei ^(61)Ni and ^(64)Ni are stable and the commonly used activation method is not feasible. In the present work, differential cross sections and angleintegrated cross sections were measured for the ^(64)Zn(n,α)^(61)Ni reaction at neutron energies of 2.5, 4.0, 5.0, 5.5, and 6.0 MeV and cross sections of the ^(67)Zn(n,α)^(64)Ni reaction were measured at 4.0, 5.0, and 6.0 MeV. A twin gridded ionization chamber was employed as alpha particle detector. Experiments were performed at the 4.5 MV Van de Graaff accelerator of Peking University. Monoenergetic neutrons of 2.5 MeV were produced through the T(p, n)^3He reaction with a solid Ti-T target, and those of other energies were produced through the D(d, n)^3He reaction with a deuterium gas target. Absolute neutron fluxes were determined through the ^(238)U(n, f) reaction and a BF^3 long counter was used as the neutron flux monitor. Present results are compared with other measurements and evaluations.