Benchmark

摘要： Optimization plays an effective role in various disciplines of science and engineering.Optimization problems should either be optimized using the appropriate method(i.e.,minimization or maximization).Optimization algorithms are one of the efficient and effective methods in providing quasioptimal solutions for these type of problems.In this study,a new algorithm called the Mutated Leader Algorithm(MLA)is presented.The main idea in the proposed MLA is to update the members of the algorithm population in the search space based on the guidance of a mutated leader.In addition to information about the best member of the population,themutated leader also contains information about the worst member of the population,as well as other normal members of the population.The proposed MLA is mathematically modeled for implementation on optimization problems.A standard set consisting of twenty-three objective functions of different types of unimodal,fixed-dimensional multimodal,and high-dimensional multimodal is used to evaluate the ability of the proposed algorithm in optimization.Also,the results obtained from theMLA are compared with eight well-known algorithms.The results of optimization of objective functions show that the proposed MLA has a high ability to solve various optimization problems.Also,the analysis and comparison of the performance of the proposed MLA against the eight compared algorithms indicates the superiority of the proposed algorithm and ability to provide more suitable quasi-optimal solutions.

摘要： Metaheuristic algorithms are one of the methods used to solve optimization problems and find global or close to optimal solutions at a reasonable computational cost.As with other types of algorithms,in metaheuristic algorithms,one of the methods used to improve performance and achieve results closer to the target result is the hybridization of algorithms.In this study,a hybrid algorithm(HSSJAYA)consisting of salp swarm algorithm(SSA)and jaya algorithm(JAYA)is designed.The speed of achieving the global optimum of SSA,its simplicity,easy hybridization and JAYA’s success in achieving the best solution have given us the idea of creating a powerful hybrid algorithm from these two algorithms.The hybrid algorithm is based on SSA’s leader and follower salp system and JAYA’s best and worst solution part.HSSJAYA works according to the best and worst food source positions.In this way,it is thought that the leader-follower salps will find the best solution to reach the food source.The hybrid algorithm has been tested in 14 unimodal and 21 multimodal benchmark functions.The results were compared with SSA,JAYA,cuckoo search algorithm(CS),firefly algorithm(FFA)and genetic algorithm(GA).As a result,a hybrid algorithm that provided results closer to the desired fitness value in benchmark functions was obtained.In addition,these results were statistically compared using wilcoxon rank sum test with other algorithms.According to the statistical results obtained from the results of the benchmark functions,it was determined that HSSJAYA creates a statistically significant difference in most of the problems compared to other algorithms.

摘要： The thermal issue is of great importance during the layout design of heat source components in systems engineering,especially for high functional-density products.Thermal analysis requires complex simulation,which leads to an unaffordable computational burden to layout optimization as it iteratively evaluates different schemes.Surrogate modeling is an effective method for alleviating computation complexity.However,the temperature field prediction(TFP)with complex heat source layout(HSL)input is an ultra-high dimensional nonlinear regression problem,which brings great difficulty to traditional regression models.The deep neural network(DNN)regression method is a feasible way for its good approximation performance.However,it faces great challenges in data preparation for sample diversity and uniformity in the layout space with physical constraints and proper DNN model selection and training for good generality,which necessitates the efforts of layout designers and DNN experts.To advance this cross-domain research,this paper proposes a DNN-based HSL-TFP surrogate modeling task benchmark.With consideration for engineering applicability,sample generation,dataset evaluation,DNN model,and surrogate performance metrics are thoroughly investigated.Experiments are conducted with ten representative state-of-the-art DNN models.A detailed discussion on baseline results is provided,and future prospects are analyzed for DNN-based HSL-TFP tasks.

摘要： Security weaknesses in web applications deployed in cloud architectures can seriously affect its data confidentiality and integrity.The construction of the procedure utilized in the static analysis tools of source code security differs and therefore each tool finds a different number of each weakness type for which it is designed.To utilize the possible synergies different static analysis tools may process,this work uses a new method to combine several source codes aiming to investigate how to increase the performance of security weakness detection while reducing the number of false positives.Specifically,five static analysis tools will be combined with the designed method to study their behavior using an updated benchmark for OWASP Top Ten Security Weaknesses(OWASP TTSW).The method selects specific metrics to rank the tools for different criticality levels of web applications considering different weights in the ratios.The findings show that simply including more tools in a combination is not synonymous with better results;it depends on the specific tools included in the combination due to their different designs and techniques.

摘要： To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality.

摘要： 为解决结构的健康监测问题,找到合适的结构损伤识别特征,使用卷积神经网络提取结构特征来识别损伤,并通过IASC-ASCE SHM Benchmark第一阶段模拟数据验证其有效性,同时与小波包频带能量特征、前五阶本征模态函数能量特征做同分类器准确率对比,证明了卷积神经网络在自动提取特征方面的优势.在分析卷积神经网络自动提取特征的鲁棒性时,发现单一噪声数据训练的特征抗噪能力有一定局限性,为了获得更好的特征抗噪能力,提出混合噪声训练模式,验证了含噪声0％ ～ 50％的样本数据,均取得良好识别结果.同时在进行卷积核特征可视化工作中发现,混噪模式训练的卷积核能够识别更多阶次的频率信息.%Here,a convolution neural network was used to extract structural features,identify damage and solve problems of structural damage identification. The effectiveness of this method was verified with IASC-ASCE SHM Benchmark Phase 1 simulation data. Then,comparing the same classifier accuracies for energy characteristics of the convolution neural network,the wavelet packet and the first 5 IMFs obtained by EMD,advantages of the convolution neural network in automatically extracting features were proved. In analyzing the robustness of features'automatic extraction of the convolution neural network,it was found that the characteristic anti-noise ability of a single noise data training mode is limited. In order to acquire the better characteristic anti-noise ability,a mixed noise training mode was proposed. The validity of this training mode was verified using the sample data with noise of 0％-50％ to obtain good recognition results. At the same time,it was found in visualization of the convolution's kernel features that the convolution kernel of the mixed noise training mode can identify more orders of frequency information.

摘要： Influence of Chicken Manure amendment on the thermal properties of selected Benchmark soils in Zambia was investigated in the laboratory under soil column experiments. Five benchmark soils were exerted to four chicken manure amendment rates of 0% (control), 2%, 4% and 6% on a weight basis. Soil temperature profiles were monitored in soil columns exerted to artificial heat source and generated data was used to compute the thermal properties of the soils. The effect of manure application on the soil thermal properties was strongly related to soil type and application rate. Significant differences (p ?3·c?1 (Mushemi series) to 8.62 MJ·m?3·c?1 (Makeni series) and attributed to differences in soil characteristics. Thermal diffusivity varied from 0.028 m2·s?1 (Makeni series) to 0.069 m2·s?1 (Mushemi series) a reverse trend to thermal conductivity. A similar trend was observed with damping depth however thermal conductivity was not significantly different among the benchmark soils. The studied soils showed significant differences (p λ), thermal diffusivity (Dh) and damping depth (d) decreased while volumetric heat capacity (Cv) increased with increased chicken manure addition. The differences in these thermal properties were attributed to differences in soil properties. These results suggest that chicken manure application can be an important intervention in regulation of the thermal properties of the soil and consequently the thermal regime of the soil.

摘要： Recent price movement Benchmark prices were flat or slightly higherover the pastmonth. Prices for the May NY futures contract increased over past month,climbing from levels just below 70 cents/lb in mid-February to those near 74 cents/lb recently.

摘要： Recent price movement Most benchmark prices decreased over the past month. Chinese prices moved sharply lower.Open interest has shifted from July and into the December contract. After moving lower in early May, values for the July contract were volatile but rangebound between 65 and 70 cents/lb for most of the past month. Values for the December contract also moved lower in early May. While they had been rangebound, December prices have been testing the lower end of their recent range, briefly dropping below 65 cents/lb in the latest trading.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： 本文论述和构造了IAWQ专家组关于污水生化处理过程仿真的Benchmark问题,100天的稳态计算结果达到了专家组所给评测数据的精度要求.通过仿真评价了溶解氧浓度和硝酸盐浓度的简单PI控制效果.

摘要： ＴＰＣ－ＣＢｅｎｃｈａｍｒｋ是国际ＴＰＣ委员会分布的用于测试计算机系统在线事务处理性能的一种测试标准，已广泛应用于测试传统的数据库系统（如关系ＤＢＭＳ）。

摘要： 本发明提供一种一键设置Benchmark测试的BIOS选项的装置及方法，针对不同的Benchmark测试项目，只需要通过调节一个选项就可以针对该Benchmark测试的内容快速将系统性能调整为最优，不需要逐个去确认和修改影响该Benchmark测试项目的选项和设置，降低了操作的难度，减少了出错的概率。

摘要： 本发明提供一种一键设置Benchmark测试的BIOS选项的装置及方法，针对不同的Benchmark测试项目，只需要通过调节一个选项就可以针对该Benchmark测试的内容快速将系统性能调整为最优，不需要逐个去确认和修改影响该Benchmark测试项目的选项和设置，降低了操作的难度，减少了出错的概率。

摘要： 本发明公开一种采用MPI与OpenMP编译提高计算集群的STREAM Benchmark测试性能的方法，属于多线程应用技术领域，在计算集群中部署MPI环境，将OpenMP部署于各个计算机节点，运行计算集群；STREAMBenchmark运行之前对源代码进行编译，OpenMP实现计算机节点的不同线程间通信，MPI实现不同计算机节点间的传递数据，实现同步，并将STREAMBenchmark自动迁至闲置计算节点；本发明综合使用MPI与OpenMP编译，使STREAMBenchmark测试性能比单独应用于MPI环境时更精确。

摘要： 本申请涉及研发管理领域，本申请公开了一种基于benchmark服务的性能测试方法及相关设备，所述方法包括：获取性能测试参数，根据所述性能测试参数建立性能测试场景，所述性能测试参数包括平均响应时间、平均吞吐量及异常率；获取执行指令，根据所述执行指令启动对所述性能测试场景的测试；调用benchmark服务发送测试消息，并记录下所述测试消息的发送时刻；接收所述测试消息的反馈结果，根据所述反馈结果对所述性能测试参数进行统计，并根据所述统计结果输出性能测试结果。本申请通过benchmark服务模拟消息请求，并可根据请求反馈消息进行各类参数的统计，获得系统性能测试结果，可以节省服务器资源，减少测试机的使用，提高系统性能测试的便利性，提高测试效率。