Prior information affecting traffic dynamics in a two dimensional (2D) network

2021 ◽  
Vol 94 (9) ◽  
Author(s):  
Daljeet Kaur ◽  
Sapna Sharma
Author(s):  
D. E. Johnson

Increased specimen penetration; the principle advantage of high voltage microscopy, is accompanied by an increased need to utilize information on three dimensional specimen structure available in the form of two dimensional projections (i.e. micrographs). We are engaged in a program to develop methods which allow the maximum use of information contained in a through tilt series of micrographs to determine three dimensional speciman structure.In general, we are dealing with structures lacking in symmetry and with projections available from only a limited span of angles (±60°). For these reasons, we must make maximum use of any prior information available about the specimen. To do this in the most efficient manner, we have concentrated on iterative, real space methods rather than Fourier methods of reconstruction. The particular iterative algorithm we have developed is given in detail in ref. 3. A block diagram of the complete reconstruction system is shown in fig. 1.


2016 ◽  
Vol 52 (15) ◽  
pp. 3099-3102 ◽  
Author(s):  
Ying Wang ◽  
Jin-Min Yi ◽  
Meng-Yuan Zhang ◽  
Ping Xu ◽  
Xiao-Jun Zhao

A SC–SC transformation process driven by I2 has been shown to generate a 2D + 1D → 2D interpenetrated architecture from a 2D + 2D → 2D network. For the first time we demonstrate a selective sensor toward cyano-containing molecules.


2016 ◽  
Vol 69 (11) ◽  
pp. 1296 ◽  
Author(s):  
Ya-Ru Pan ◽  
Xiu-Mei Li ◽  
Jian-Ye Ji ◽  
Qing-Wei Wang

Two new complexes [Co(NIPH)(bimb)(H2O)]n (1) and [Ni(NIPH)(mbix)]n (2) (H2NIPH = 5-nitroisophthalic acid, bimb = 1,4-bis(imidazol-1-yl)butane, mbix = 1,3-bis(imidazol-1-ylmethyl)benzene) have been hydrothermally synthesised and structurally characterised by elemental analysis, IR spectroscopy, thermogravimetric analysis, UV spectroscopy, and single-crystal X-ray diffraction. Complex 1 exhibits a two-dimensional (2D) network, which was stabilised through O–H···O and C–H···O hydrogen-bonding interactions. Complex 2 shows a two-dimensional (2D) network structure, which was further extended into a three-dimensional supramolecular structure through C–H···O hydrogen bonds and π–π interactions. Moreover, we analysed the natural bond orbital (NBO) using the PBE0/LANL2DZ method in the Gaussian 03 program. The calculation results indicated the obvious covalent interactions between the coordinated atoms and the CoII or NiII ion.


2018 ◽  
Vol 13 (2) ◽  
pp. 326-337
Author(s):  
Yosuke Kawasaki ◽  
Yusuke Hara ◽  
Masao Kuwahara ◽  
◽  
◽  
...  

This study proposes a real-time monitoring method for two-dimensional (2D) networks via the fusion of probe data and a traffic flow model. In the Great East Japan Earthquake occurring on March 11, 2011, there was major traffic congestion as evacuees concentrated in cities on the Sanriku Coast. A tragedy occurred when a tsunami overtook the stuck vehicles. To evacuate safely and efficiently, the state of traffic must be monitored in real time on a 2D network, where all networks are linked. Generally, the traffic state is monitored only at observation points. However, observation data presents the risk of errors. Additionally, in the estimated traffic state of the 2D network, unlike non-intersecting road sections (i.e., one-dimensional), it is necessary to model user route choice behavior and origin/destination (OD) demand to input in the model. Therefore, in this study, we develop a state-space model that assimilates vehicle density and divergence ratio data obtained from probe vehicles in a traffic flow model that considers route choice. Our state-space model considers observational errors in the probe data and can simultaneously estimate traffic state and destination component ratio of OD demand. The result of simulated traffic model verification shows that the proposed model has good congestion estimation precision in a small-scale test network.


2020 ◽  
Vol 76 (9) ◽  
pp. 850-855
Author(s):  
Ning-Ning Chen ◽  
Chen Zhang ◽  
Jian-Qing Tao

A novel twofold interpenetrating two-dimensional (2D) ZnII coordination framework, poly[[(μ-1,3-bis(2-methyl-1H-imidazol-1-yl)benzene-κ2 N 3:N 3)(μ-naphthalene-2,6-dicarboxylato-κ2 O 2:O 6)zinc(II)] dimethylformamide monosolvate], {[Zn(C12H6O4)(C14H14N4)]·C3H7NO} n or {[Zn(1,3-BMIB)(NDC)]·DMF} n (I), where H2NDC is naphthalene-2,6-dicarboxylic acid, 1,3-BMIB is 1,3-bis(2-methyl-1H-imidazol-1-yl)benzene and DMF is dimethylformamide, was prepared and characterized through IR spectroscopy, elemental analysis, thermal analysis and single-crystal X-ray diffraction. Single-crystal X-ray diffraction analysis revealed that (I) exhibits an unusual twofold interpenetrating 2D network. In addition, it displays strong fluorescence emissions and a high photocatalytic activity for the degradation of Rhodamine B (RhB) under UV-light irradiation.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ya-Li Zhao ◽  
Qi-Ying Weng ◽  
Yu-Qian Xie ◽  
Jia-Ming Li

Abstract A pair of two-dimensional (2D) isostructural coordination polymers (CPs), {[Co(2,3-qldc)(H2O)]} n (1) and {[Mn(2,3-qldc)(H2O)]} n (2), where 2,3-H2qldc = quinoline-2,3-dicarboxylic acid, were hydrothermally synthesized and characterized through IR spectroscopy, elemental and thermal analysis, power X-ray diffraction, and single-crystal X-ray diffraction. The results have revealed that the fully deprotonated 2,3-H2qldc ligand connects the Co(II)/Mn(II) atoms with a μ 3-bridge to form a square-wave 2D network, which is further extended into 3D stacks through O–H···O, C–H···O hydrogen bonds and π···π stacking interactions. Topologically, 1 or 2 can be simplified as a 4-connected sql type with a Schläfli symbol {44·62} and a Shubnikov tetragonal plane net, or as a 3-connected fes type with a Schläfli symbol {4·82} and a Shubnikov plane net. The thermal stability and the solid state fluorescence properties of 1 and 2 were investigated.


2018 ◽  
Vol 78 (5) ◽  
pp. 2737-2762 ◽  
Author(s):  
Michael Herty ◽  
Andrea Tosin ◽  
Giuseppe Visconti ◽  
Mattia Zanella

CrystEngComm ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 905-914 ◽  
Author(s):  
Yong-Sheng Shi ◽  
Yue-Hua Li ◽  
Guang-Hua Cui ◽  
Gui-Ying Dong

Two new CPs, namely {[Cd(L)(1,4-PDA)]·0.7(C2H5OH)}n (1) and {[Cd(L)0.5(1,8-NDC)·H2O]}n (2) were fabricated. 1 shows a sql 2D network. 2 shows a 2D 3,4L83 network. Both 1 and 2 were highly selective and sensitive fluorescent chemosensors toward acetylacetone and Fe3+.


2010 ◽  
Vol 65 (2) ◽  
pp. 163-167 ◽  
Author(s):  
Qiang Wu ◽  
Qiuxia Han ◽  
Lijun Chen ◽  
Pengtao Ma ◽  
Jingyang Niu

A new organic-inorganic hybrid molybdoarsenate constructed from a unit with two (As3O3) rings capping Anderson-type moieties, [Cu(en)2]2[(CuO6)Mo6O18(As3O3)2] (1) (en = ethylenediamine), has been hydrothermally synthesized and characterized by single-crystal X-ray diffraction and thermogravimetric analysis. The compound crystallizes monoclinically, space group P21/c, with unit cell dimensions a = 9.1541(7), b = 19.6348(14), c = 14.5205(8) Å ,β = 129.082(3)◦,V = 364.20(4) Å3, Z = 2, T = 296(2) K. Complex 1 represents the first example of a 2D network of a POM polymer where [(CuO6)Mo6O18(As3O3)2]4− building blocks are connected by complex fragments {Cu(en)2}2+.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yu Zhang ◽  
Yinan Sun ◽  
Gong Zhang ◽  
Xinhai Wang ◽  
Yu Tao

A novel two-phase method for two-dimensional (2D) direction-of-arrival (DOA) estimation with L-shaped array based on decoupled atomic norm minimization (DANM) is proposed in this paper. In the first phase, given the sample crosscorrelation matrix, the gridless DANM technique considering the noise and finite snapshots effects is employed to exploit the structure and sparse properties of the crosscorrelation matrix. The resulting DANM-based algorithm not only enables the crosscorrelation matrix reconstruction (CCMR) but also reconstructs the covariance matrix of the L-shaped array. Hence, sequentially, in the second phase, the conventional 2D DOA estimators for the L-shaped array can be adopted for the angle estimation. With appropriate 2D DOA estimators, the resulting proposed algorithms can not only achieve better performance but also detect more source number, compared with conventional crosscorrelation-based DOA estimators. Moreover, the proposed method, termed CCMR-DANM, not only has blind characteristic that it does not require the prior information of source numbers but also is more efficient than the existing CCMR-based counterparts. Numerical simulations demonstrate the effectiveness and outperformance of the proposed method.


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