Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
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Benchmark is a method of measuring performance, and we can obtain continuous performance improvement of programming algorithm through Benchmark validation. In order to solve large-scale linear programming problems, this paper proposes an integrated Benchmark validation which integrates theoretical Benchmark analysis with advance language-based Benchmark. Through the integrated Benchmark validation, we can continuously improve an optimizing algorithm, and validate whether the new optimizing algorithm achieves the performance objectives. The results of experiments show the proposed integrated Benchmark validation is an effective method for developing large-scale linear programming algorithms.
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Benchmark consumers expect benchmark suites to be complete, accurate, and consistent, and benchmark scores serve as relative measures of performance. however, it is important to understand how benchmarks stress the processors that they aim to test. this study explores the stress points of the EEMBC embedded benchmark suite using the benchmark characterization technique.
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Context: Clone benchmarks are essential to the assessment and improvement of clone detection tools and algorithms. Among existing benchmarks, Bellon's benchmark is widely used by the research community. However, a serious threat to the validity of this benchmark is that reference clones it contains have been manually validated by Bellon alone. Other persons may disagree with Bellon's judgment. Objective: In this paper, we perform an empirical assessment of Bellon's benchmark. Method: We seek the opinion of eighteen participants on a subset of Bellon's benchmark to determine if researchers should trust the reference clones it contains. Results: Our experiment shows that a significant amount of the reference clones are debatable, and this phenomenon can introduce noise in results obtained using this benchmark.
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In the paper we discuss the problem of evaluating disc performance with benchmarks. In particular, we concentrate on assessing benchmark properties. For this purpose we have developed benchmark managing platform which allows us to enhance the benchmark execution process with monitoring performance counters. The developed methodology and tool do not need additional benchmark instrumentation and have a negligible impact on its execution. The usefulness of this approach has been illustrated with experimental results covering a representative set of benchmark programs.
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The process of implementing monetary policy by the Central Bank is that of taking the advantage of the manipulative instruments to reach the goals of policy so the Central Bank should choose the manipulative instruments according to certain benchmark so as to reach its goals better. The benchmark of choosing instruments of monetary policy by the Central Bank include theoretical benchmark and empirical benchmark. The theoretical benchmark consist of external and internal benchmark. Internal benchmark are the most important benchmark for daily operation,which include initiative benchmark,fine-tuning benchmark,signal-functioning benchmark,timeliness benchmark,and operablity benchmark.
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Results of the third benchmark are briefly described. The problem requires solution of a mulirate system. It is found that the benchmark is a difficult problem and many respondees have used it to expand and debug their facilities. A more complete paper on the solutions of this benchmark will be submitted to the Control System Magazine for further dissemination.
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