Recognition of Touching Erythrocytes via Contour Radial Uniformity and Sector Region Distribution Features

2011 ◽  
pp. 581-589
Author(s):  
Minglei Sun ◽  
Di Wang ◽  
Wen Wen ◽  
Rong Zhang ◽  
Shichuan Tang ◽  
...  
Keyword(s):  
Distribution Features

Distribution features of landslides in the Yalong River Basin, Southwest China

2021 ◽  
Vol 80 (7) ◽  
Author(s):  
Gang Jin ◽  
Yunsheng Wang ◽  
Wenbin Wu ◽  
Tai Guo ◽  
Jialu Xu
Keyword(s):  
River Basin ◽  
Southwest China ◽  
Distribution Features ◽  
Yalong River ◽  
Yalong River Basin

The Initial Response of a Chenopod Shrubland Plant and Invertebrate Community to Two Pulses of Intensive Cattle Grazing.

1999 ◽  
Vol 21 (2) ◽  
pp. 169 ◽  
Author(s):  
JL Read
Keyword(s):  
Water Distribution ◽  
Marked Effect ◽  
Plant Cover ◽  
South Australia ◽  
Initial Response ◽  
Plant Species Richness ◽  
Cattle Grazing ◽  
Invertebrate Community ◽  
Distribution Features ◽  
One Year

The initial effect of two pulses of heavy cattle grazing on chenopod shrubland plants and invertebrates in northern South Australia was assessed in a two year trial. Both plant and invertebrate communities were structured by subhabitats which were defined by edaphic and water-distribution features. The cover of grasses and the dominant shrubs, Atriplex vesicaria and Maireana astrotricha, declined significantly following grazing but only total vegetation cover was significantly lower than controls one year after grazing. Plant species richness was not affected by the grazing pulses. Abundance of ants increased, but the responses of other invertebrates were inconsistent following grazing. Rainfall had a marked effect upon both plant cover and invertebrate abundance. Key words: chenopod shrublands, pulsed cattle grazing, Atriplex vesicaria, invertebrates, bioindicators

scholarly journals Influence of Extreme Temperature on the Pore and Fracture Development of High-Rank Coal

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Ming Yang ◽  
Jingcang Bi
Keyword(s):  
Temperature Stress ◽  
Pore Volume ◽  
Coal Sample ◽  
High Rank ◽  
Research Attention ◽  
Ultralow Temperature ◽  
Distribution Features ◽  
Fracture Development ◽  
Porosity And Permeability ◽  
Coal Reservoir

Pore and fracture structures in coals and their distribution features play an important role in the enrichment and osmosis migration of coalbed methane (CBM). The modification and antireflection of pore and fracture in coal reservoir through ultrahigh and ultralow temperature stress, such as liquid nitrogen frozen-induced cracking and thermal antireflection of coal reservoir, have attracted wide research attention. This study conducted a nuclear magnetic resonance (NMR) experiment of pore and fracture features of coal samples under two extreme temperatures (100°C, −196°C) using the Meso MR23-060H-I low-field NMR and imaging instrument. The influencing law of ultrahigh and ultralow temperature stress on pore and fracture development in high-rank coal was discussed. Results demonstrated that temperature can influence pore and fracture development of high-rank coal samples. The pore volume, porosity, and permeability of the coal sample increase after low-temperature (−196°C) treatment. The proportion of microspores decreases, the proportion of small pores increases, the proportion of mesopores remains the same, and the proportion of macrospores increases to some extent. The pore volume of coal sample decreases after high-temperature (100°C) treatment. Porosity and permeability decrease. The proportion of mesopores declines, the proportion of mesopores remains basically same, and the proportion of macrospores decreases.

scholarly journals Multi-View Laser Point Cloud Global Registration for a Single Object

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3729 ◽  
Author(s):  
Shuai Wang ◽  
Hua-Yan Sun ◽  
Hui-Chao Guo ◽  
Lin Du ◽  
Tian-Jian Liu
Keyword(s):  
Spatial Distribution ◽  
Objective Function ◽  
Point Cloud ◽  
Point Clouds ◽  
Low Rank ◽  
Single Object ◽  
Loop Closure Detection ◽  
Global Registration ◽  
Distribution Features ◽  
Better Than

Global registration is an important step in the three-dimensional reconstruction of multi-view laser point clouds for moving objects, but the severe noise, density variation, and overlap ratio between multi-view laser point clouds present significant challenges to global registration. In this paper, a multi-view laser point cloud global registration method based on low-rank sparse decomposition is proposed. Firstly, the spatial distribution features of point clouds were extracted by spatial rasterization to realize loop-closure detection, and the corresponding weight matrix was established according to the similarities of spatial distribution features. The accuracy of adjacent registration transformation was evaluated, and the robustness of low-rank sparse matrix decomposition was enhanced. Then, the objective function that satisfies the global optimization condition was constructed, which prevented the solution space compression generated by the column-orthogonal hypothesis of the matrix. The objective function was solved by the Augmented Lagrange method, and the iterative termination condition was designed according to the prior conditions of single-object global registration. The simulation analysis shows that the proposed method was robust with a wide range of parameters, and the accuracy of loop-closure detection was over 90%. When the pairwise registration error was below 0.1 rad, the proposed method performed better than the three compared methods, and the global registration accuracy was better than 0.05 rad. Finally, the global registration results of real point cloud experiments further proved the validity and stability of the proposed method.

scholarly journals Experimental analysis of flowrates distribution features in doubleloop reactor channels

2013 ◽  
Vol 2013 (4) ◽  
pp. 95-101
Author(s):  
Evgenij Fyodorovich Avdeev ◽  
Igor’ Aleksandrovich Chusov
Keyword(s):  
Experimental Analysis ◽  
Distribution Features

scholarly journals ROMAN COIN FINDS FROM VOLHYNIA: MAIN CATEGORIES AND DISTRIBUTION FEATURES (to the problem of regional study)

2019 ◽  
Vol 30 (1) ◽  
pp. 30-42
Author(s):  
K. V. Myzgin
Keyword(s):  
Eastern Europe ◽  
Archaeological Research ◽  
Basic Information ◽  
Information Analysis ◽  
Critical Approach ◽  
Regional Study ◽  
Roman Coins ◽  
Distribution Features ◽  
Metal Detectors ◽  
The Right

The article is an experience of regional study of Roman coins finds on the territory of Eastern Europe. The basic information about them was collected and published in the middle of the 20th century. However, today this source base has significantly expanded. Basically, due to the use of metal detectors during archaeological research and, unfortunately, for illegal purposes (such finds are called «less reliable», their use is obligatory, however, provided a critical approach to information). Analysis of the main categories of Roman coins finds in the region made it possible to distinguish features in their distribution. Basically, Volhynia are is outside the concentration of the main categories of finds of Roman coins in Eastern Barbaricum: Roman republican coins, 1—2nd c. AD denarii, 1—3rd c. AD aurei, 2—3rd AD bronze provincial coins, antoniniani and bronze and silver emissions of 4th c. AD. Nevertheless, the concentration of the 4th c. AD Roman gold medallions is associated with this region (in article published a new find of such coin), which indicates here the existence of the centre of the barbarous elite. In general, the numismatic material of the Volhynia region is typical for the territory of the right bank of Dnieper. At the same time, do not forget that Volhynia, like all territory of Eastern Barbaricum, in Roman period was part of the German cultural circle, in which Roman coins were universal.

Quantitative Retrieval of Tidal Flat Moisture Based on TM Images

2013 ◽  
Vol 448-453 ◽  
pp. 1066-1071
Author(s):  
Li Jun Yang ◽  
Ming Fei Wu ◽  
Yun Hong Zhu
Keyword(s):  
Remote Sensing ◽  
Relative Error ◽  
Tidal Flat ◽  
Spectral Characteristics ◽  
Atmospheric Correction ◽  
Maximum Error ◽  
Exponential Model ◽  
Wave Band ◽  
Gradient Distribution ◽  
Distribution Features

Based on spectrometry, the remote sensing inversion researches of the surface tidal flat moisture are conducted in combination with spectral values measured in the field and moisture measured in the laboratory. Firstly, the remote sensing images are preprocessed, including geometric correction, atmospheric correction and image enhancement. Then, the spectral characteristics of typical ground objects are analyzed to partition the whole image and separate the bare tidal flats. At last, TM5 wave band and exponential model are determined to be the best wave band and optimal model for the inversion of the bare tidal flat moisture. The experiment shows: (1)This method can help to improve the accuracy of the surface tidal flat moisture inversion, with the maximum error of moisture inversion is 3%, the relative error is 7.1% and the average relative error is 6.5%. (2)The surface tidal flat moisture is of evident gradient distribution features, which can be used as basis of tidal flat topographic survey.

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