scholarly journals Benchmark Test and Guidelines for DEER/PELDOR Experiments on Nitroxide-Labeled Biomolecules

2021 ◽  
Author(s):  
Olav Schiemann ◽  
Caspar A. Heubach ◽  
Dinar Abdullin ◽  
Katrin Ackermann ◽  
Mykhailo Azarkh ◽  
...  
Keyword(s):  
Benchmark Test

scholarly journals A Hybrid Whale Optimization Algorithm for Global Optimization

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1477
Author(s):  
Chun-Yao Lee ◽  
Guang-Lin Zhuo
Keyword(s):  
Global Optimization ◽  
Optimization Algorithm ◽  
Optimization Problems ◽  
Whale Optimization Algorithm ◽  
Initial Population ◽  
Test Functions ◽  
Benchmark Test ◽  
Thermal Exchange ◽  
Whale Optimization ◽  
Benchmark Test Functions

This paper proposes a hybrid whale optimization algorithm (WOA) that is derived from the genetic and thermal exchange optimization-based whale optimization algorithm (GWOA-TEO) to enhance global optimization capability. First, the high-quality initial population is generated to improve the performance of GWOA-TEO. Then, thermal exchange optimization (TEO) is applied to improve exploitation performance. Next, a memory is considered that can store historical best-so-far solutions, achieving higher performance without adding additional computational costs. Finally, a crossover operator based on the memory and a position update mechanism of the leading solution based on the memory are proposed to improve the exploration performance. The GWOA-TEO algorithm is then compared with five state-of-the-art optimization algorithms on CEC 2017 benchmark test functions and 8 UCI repository datasets. The statistical results of the CEC 2017 benchmark test functions show that the GWOA-TEO algorithm has good accuracy for global optimization. The classification results of 8 UCI repository datasets also show that the GWOA-TEO algorithm has competitive results with regard to comparison algorithms in recognition rate. Thus, the proposed algorithm is proven to execute excellent performance in solving optimization problems.

Benchmark test artifacts for selective laser melting – a critical review

2021 ◽  
Vol 15 ◽  
Author(s):  
Weishi Li ◽  
Kuanting Wang ◽  
Shiaofen Fang
Keyword(s):  
Selective Laser Melting ◽  
High Surface ◽  
Dimensional Accuracy ◽  
Melting Process ◽  
Design Guidelines ◽  
Laser Melting ◽  
Specific Test ◽  
Benchmark Test ◽  
High Surface Quality ◽  
Machine Performance

Background: Selective laser melting is the best-established additive manufacturing technology for high-quality metal part manufacturing. However, the widespread acceptance of the technology is still underachieved, especially in critical applications, due to the absence of a thorough understanding of the technology, although several benchmark test artifacts have been developed to characterize the performance of selective laser melting machines. Objective: The objective of this paper is to inspire new designs of benchmark test artifacts to understand the selective laser melting process better and promote the acceptance of the selective laser melting technology. Method: The existing benchmark test artifacts for selective laser melting are analyzed comparatively, and the design guidelines are discussed. Results: The modular approach should still be adopted in designing new benchmark test artifacts in the future, and task-specific test artifacts may also need to be considered further to validate the machine performance for critical applications. The inclusion of the design model in the manufactured artifact, instead of the conformance to the design specifications, should be evaluated after the artifact is measured for the applications requiring high-dimensional accuracy and high surface quality. Conclusion: The benchmark test artifact for selective laser melting is still under development, and a breakthrough of the measuring technology for internal and/or inaccessible features will be beneficial for understanding the technology.

Benchmark test cases for the National Combustion Code

1998 ◽  
Author(s):  
K.-H. Chen ◽  
A. Norris ◽  
A. Quealy ◽  
N.-S. Liu
Keyword(s):  
Test Cases ◽  
Benchmark Test

scholarly journals The relationship between the National Senior Certificate and the National Benchmark Test for accounting students at a South African university

2021 ◽  
Vol 12 (01) ◽  
Author(s):  
Riley Carpenter ◽  
◽  
Lily Roos ◽  
Keyword(s):  
South Africa ◽  
Academic Performance ◽  
Black Students ◽  
South African ◽  
Empirical Research ◽  
Accounting Students ◽  
Strong Correlations ◽  
Benchmark Test ◽  
Factors Influencing ◽  
The Relationship

The South African accounting profession needs racial transformation. Consequently, students pursuing the chartered accountant (South Africa) (CA(SA)) designation, especially at-risk Black students, require adequate support. To be successful, the support must be driven by factors influencing students’ academic performance. As prior academic performance is one such factor, this study examines the relationship between the National Senior Certificate (NSC) exams and the National Benchmark Test (NBT) for students enrolled in an accounting degree at a South African university. Due to numerous moderate and strong correlations between NSC and NBT results, without multicollinearity, it was concluded that both sets of results should be considered as factors contributing to students’ academic performance. The findings highlight the need for further empirical research on NSC and NBT results as determinants of success for accounting students.

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