Fast Nearest Neighbors Search in Graph Space Based on a Branch-and-Bound Strategy

2017 ◽  
pp. 197-207 ◽  
Author(s):  
Zeina Abu-Aisheh ◽  
Romain Raveaux ◽  
Jean-Yves Ramel
Keyword(s):  
Branch And Bound ◽  
Nearest Neighbors

PCA-based branch and bound search algorithms for computing K nearest neighbors

2003 ◽  
Vol 24 (9-10) ◽  
pp. 1437-1451 ◽  
Author(s):  
Wim D’haes ◽  
Dirk van Dyck ◽  
Xavier Rodet
Keyword(s):  
Branch And Bound ◽  
Nearest Neighbors ◽  
Search Algorithms ◽  
K Nearest Neighbors ◽  
Branch And Bound Search

Observation of Superlattice Dislocations on Cube Planes in Ni3Al

1973 ◽  
Vol 31 ◽  
pp. 174-175 ◽  
Author(s):  
J. M. Oblak ◽  
W. H. Rand
Keyword(s):  
Nearest Neighbor ◽  
Antiphase Boundary ◽  
Nearest Neighbors ◽  
High Energy ◽  
Cross Slip ◽  
Octahedral Plane ◽  
Trapping Mechanism ◽  
Slip Traces

The energy of an a/2 <110> shear antiphase. boundary in the Ll2 expected to be at a minimum on {100} cube planes because here strue ture is there is no violation of nearest-neighbor order. The latter however does involve the disruption of second nearest neighbors. It has been suggested that cross slip of paired a/2 <110> dislocations from octahedral onto cube planes is an important dislocation trapping mechanism in Ni3Al; furthermore, slip traces consistent with cube slip are observed above 920°K.Due to the high energy of the {111} antiphase boundary (> 200 mJ/m2), paired a/2 <110> dislocations are tightly constricted on the octahedral plane and cannot be individually resolved.

Probing vacancies and structural distortions at individual defects in ceramics using EELS

1996 ◽  
Vol 54 ◽  
pp. 678-679
Author(s):  
D. J. Wallis ◽  
N. D. Browning
Keyword(s):  
Structural Information ◽  
Core Loss ◽  
Nearest Neighbors ◽  
Ceramic Materials ◽  
Scanning Transmission Electron Microscope ◽  
Real Space ◽  
Atomic Scale ◽  
Structure Property ◽  
Scanning Transmission ◽  
Key Issues

In electron energy loss spectroscopy (EELS), the near-edge region of a core-loss edge contains information on high-order atomic correlations. These correlations give details of the 3-D atomic structure which can be elucidated using multiple-scattering (MS) theory. MS calculations use real space clusters making them ideal for use in low-symmetry systems such as defects and interfaces. When coupled with the atomic spatial resolution capabilities of the scanning transmission electron microscope (STEM), there therefore exists the ability to obtain 3-D structural information from individual atomic scale structures. For ceramic materials where the structure-property relationships are dominated by defects and interfaces, this methodology can provide unique information on key issues such as like-ion repulsion and the presence of vacancies, impurities and structural distortion.An example of the use of MS-theory is shown in fig 1, where an experimental oxygen K-edge from SrTiO3 is compared to full MS-calculations for successive shells (a shell consists of neighboring atoms, so that 1 shell includes only nearest neighbors, 2 shells includes first and second-nearest neighbors, and so on).

PENJADWALAN OPTIMAL TIPE PRODUKSI FLOWSHOP DUA TAHAP MENGGUNAKAN METODE BRANCH AND BOUND DENGAN MEMPERHATIKAN WAKTU TRANSPORTASI

2017 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Marie Muhammad ◽  
Elis Ratna Wulan
Keyword(s):  
Branch And Bound

Penjadwalan produksi dapat dibagi menjadi dua jenis, yaitu penjadwalan produksi tipe jobshop dan penjadwalan produksi tipe flowshop. Penjadwalan produksi tipe flowshop adalah sebuah penjadwalan sebuah produk yang sedemikian rupa sehingga setiap produk diproduksi melalui mesin yang sama dengan alur produksi yang sama. Terdapat beberapa masalah flowshop, salah satunya adalah dengan memperhatikan waktu transportasi. Dan metode Branch and Bound adalah solusi yang tepat untuk memecahkan masalah penjadwalan produksi dengan memperhatikan waktu transportasi untuk meminimalisir waktu yang terlewati. Pada penulisan Studi Literatur ini, Penjadwalan optimal dari 4 buah job dan 2 buah mesin dengan memperhatikan waktu transportasi adalah 1, 2, 4, dan 3 dengan waktu yang terlewati adalah 59 unit satuan waktu.

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