Three-level order-adaptive weighted essentially non-oscillatory schemes

This study aims to find factors influencing students to do speeding in Yogyakarta Special Region. 179 respondents filled in on-line and off-line questionnaires to determine options or probabilities of speeding up on a variety of different road / environmental conditions. Cross tab tests and ordered logistic regression are adopted to analyze influencing factors (both internal and external). 3 of 18 predictor variables do not affect speeding behavior, and those are driving experience, road separator, and speed limit signs. While the age, education, and police presence are negatively correlated with speeding behavior, it means that the older, and the higher a person's education and the presence of police, people tend not to have speeding behavior. The other research result is the level order of the influencing factor of speeding (predictor variables). Penelitian ini bertujuan menemukan faktor – faktor yang mempengaruhi pelajar dan mahasiswa melakukan ‘speeding’ atau ngebut di Daerah Istimewa Yogyakarta. Sebanyak 179 responden mengisi kuesioner on-line maupun off-line untuk mengetahui pilihan-pilihan atau probabilitas melakukan ngebut untuk berbagai kondisi jalan/lingkungan yang berbeda. Uji cross tab dan regresi logistic ordinal digunakan untuk menganalisis factor-faktor (baik internal maupun eksternal) yang berpengaruh. Dari 18 variabel predictor, 3 diantaranya tidak berpengaruh, yaitu: pengalaman berkendara, pemisah jalan dan rambu batas kecepatan. Sementara variable usia, pendidikan dan keberadaan polisi berkorelasi negative terhadap perilaku ngebut, artinya semakin bertambah usia, dan makin tinggi pendidikan seseorang serta adanya polisi mendorong orang untuk tidak ngebut. Dihasilkan juga urutan tingkat pengaruh masing-masing factor (variable predictor)

Download Full-text

Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.101-102.414 ◽

2011 ◽

Vol 101-102 ◽

pp. 414-417

Author(s):

Yi Qiang Wang ◽

Chao Fu ◽

Ming Yang Ma ◽

Lin Bin Wang

Keyword(s):

Optimization Problem ◽

Order Picking ◽

Intelligent Algorithm ◽

Swarm Optimization ◽

Intelligent Algorithms ◽

Operation Efficiency ◽

Routing Optimization ◽

High Level ◽

The Mathematical Model ◽

Level Order

In order to improve the operation efficiency of order picking trucks in the warehouse, the mathematical model of the routing optimization problem is established. Then PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to solve the model. Experimental results show that both of them have good overall search ability and astringency. The operation efficiency is improved to a great extent by using swarm intelligent algorithms.

Download Full-text

A Memory-Efficient Algorithm with Level-Order Unary Degree Sequence for Forward Reasoning Engines

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-75417-8_6 ◽

2018 ◽

pp. 59-70

Author(s):

Hiromu Hiidome ◽

Yuichi Goto ◽

Jingde Cheng

Keyword(s):

Efficient Algorithm ◽

Degree Sequence ◽

Forward Reasoning ◽

Level Order ◽

Memory Efficient

Download Full-text

A zero watermarking approach for content authentication and tampering detection of Arabic text based on fourth level order and word mechanism of Markov model

Journal of Information Security and Applications ◽

10.1016/j.jisa.2020.102473 ◽

2020 ◽

Vol 52 ◽

pp. 102473

Author(s):

Fahd N. Al-Wesabi ◽

Khalid Mahmood ◽

Nadhem NEMRI

Keyword(s):

Markov Model ◽

Arabic Text ◽

Content Authentication ◽

Tampering Detection ◽

Fourth Level ◽

Zero Watermarking ◽

Level Order

Download Full-text

A fractal continuum model of the pulmonary arterial tree

Journal of Applied Physiology ◽

10.1152/jappl.1992.72.6.2225 ◽

1992 ◽

Vol 72 (6) ◽

pp. 2225-2237 ◽

Cited By ~ 49

Author(s):

G. S. Krenz ◽

J. H. Linehan ◽

C. A. Dawson

Keyword(s):

Fractal Structure ◽

Cumulative Distribution ◽

Total Resistance ◽

Arterial Tree ◽

Vascular Volume ◽

Capillary Bed ◽

Pulmonary Arterial ◽

Self Similar ◽

The Mean ◽

Level Order

The extant morphometric data from the intrapulmonary arteries of dog, human, and cat lungs produce graphs of the log of the vessel number, (N) or length (l) in each level vs. the log of the mean diameter (D) in each level that are sufficiently linear to suggest that a scale-independent self-similar or fractal structure may underlie the observed relationships. These data can be correlated by the following formulas: Nj = a1Dj-beta 1, and lj = a2Dj beta 2, where j denotes the level (order or generation) number measured from the largest vessel at the entrance to the arterial tree to the smallest vessel at the entrance to the capillary bed. With the hemodynamic resistance (R) represented by Rj = 128 microliterj/(Nj pi Dj4) and the vascular volume (Q) by Qj = Nj pi Dj2lj/4, the continuous cumulative distribution of vascular resistance (Rcum) vs. cumulative vascular volume (Qcum) (where Rcum and Qcum represent the total resistance or volume, respectively, upstream from the jth level) can be calculated from [formula: see text] where r = Dj/Dj+1 is a constant independent of j. Analogous equations are developed for the inertance and compliance distributions, providing simple formulas to represent the hemodynamic consequences of the pulmonary arterial tree structure.

Download Full-text

Influence of the Framework Topology on the Reactivity of Chiral Pyrrolidine Units Inserted in Different Porous Organosilicas

Catalysts ◽

10.3390/catal9080654 ◽

2019 ◽

Vol 9 (8) ◽

pp. 654

Author(s):

Sebastián Llopis ◽

Alexandra Velty ◽

Urbano Díaz

Keyword(s):

Sol Gel ◽

Textural Properties ◽

Michael Adduct ◽

Structural Framework ◽

Ordered Mesoporous ◽

Sol Gel Process ◽

Variable Content ◽

Hybrid Solids ◽

The Michael Addition ◽

Level Order

Three families of organosiliceous materials with different structuration level, order, and textural properties (non-ordered, M41S, and SBA-15 type materials) were prepared incorporating in their structural framework chiral pyrrolidine units with variable content. Likewise, non-ordered mesoporous hybrid solids were obtained through a sol-gel process in a fluoride medium, while M41S and SBA-15 type materials were obtained through micellar routes in the presence of long-chain neutral surfactants or block copolymers. Thanks to appropriate characterization studies and catalytic tests for the Michael addition between butyraldehyde and β-nitrostyrene, we showed how the void shapes and sizes present in the structure of hybrid materials control the diffusion of reactants and products, as well as confine transition states and reactive intermediates. The best catalytic results, considering activity and enantioselectivity, were achieved in the presence of a non-ordered material, NOH-Pyr-5%, which exhibited the highest Brunauer-Emmett-Teller (BET) area, with a 96% yield and a 82% ee for the Michael adduct.

Download Full-text