为实现XML数据库的性能评测,提出基于TPC-C的XML数据库测试方案。针对XML数据库特性,对其数据结构、查询事务语句进行定制,将原有9张表映射成5个XML Schema文件,按照SQL/XML标准重写负载事务。应用该方案对SQL Server 2005数据库进行测...为实现XML数据库的性能评测,提出基于TPC-C的XML数据库测试方案。针对XML数据库特性,对其数据结构、查询事务语句进行定制,将原有9张表映射成5个XML Schema文件,按照SQL/XML标准重写负载事务。应用该方案对SQL Server 2005数据库进行测试,结果表明显示的各项事务特征均与TPC-C基准相同。展开更多
The release of the generative pre-trained transformer(GPT)series has brought artificial general intelligence(AGI)to the forefront of the artificial intelligence(AI)field once again.However,the questions of how to defi...The release of the generative pre-trained transformer(GPT)series has brought artificial general intelligence(AGI)to the forefront of the artificial intelligence(AI)field once again.However,the questions of how to define and evaluate AGI remain unclear.This perspective article proposes that the evaluation of AGI should be rooted in dynamic embodied physical and social interactions(DEPSI).More specifically,we propose five critical characteristics to be considered as AGI benchmarks and suggest the Tong test as an AGI evaluation system.The Tong test describes a value-and ability-oriented testing system that delineates five levels of AGI milestones through a virtual environment with DEPSI,allowing for infinite task generation.We contrast the Tong test with classical AI testing systems in terms of various aspects and propose a systematic evaluation system to promote standardized,quantitative,and objective benchmarks and evaluation of AGI.展开更多
含高比例新能源交直流混联电网的稳定特性已发生深刻变化,功角稳定依然是威胁系统安全运行的关键问题,相关研究对标准算例的真实性、合理性及代表性提出更高的要求。该文根据实际电网拓扑和数据,构建适用于功角稳定特性研究的功角稳定...含高比例新能源交直流混联电网的稳定特性已发生深刻变化,功角稳定依然是威胁系统安全运行的关键问题,相关研究对标准算例的真实性、合理性及代表性提出更高的要求。该文根据实际电网拓扑和数据,构建适用于功角稳定特性研究的功角稳定机电暂态仿真算例(Chinese society for electricalengineering-rotoranglestability,CSEE-RAS),该系统以500kV为主网架,包含2个区域、1个交流通道、1个直流通道。提供2种运行方式,分别对应动态、暂态功角稳定场景,上述场景新能源出力占比均在50%以上。考虑新能源出力占比、机组接入位置和控制策略等因素,量化不同因素对稳定水平的影响。敏感性分析结果表明,该算例较为全面地反映了机电暂态尺度下的不同功角稳定特性,且具有灵活的拓展能力,可为功角稳定分析与控制的相关研究提供基础平台,有助于不同结论的横向比较和研究人员科研效率的提升。展开更多
针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在...针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在种群迭代阶段采用重心反向学习的最优适应度权重更新策略,平衡算法的勘探与开发。16组基准函数测试结果表明,改进后算法能自适应跳出局部最优,在加快算法收敛速度的同时提高全局收敛能力与精度。将BGWO应用于PV型旋风分离器粒级效率GBDT(gradient boosting decision tree)的建模,提高了GBDT的精度,模型相关系数0.980,均方误差0.00079,BGWO-GBDT与GBDT、PSO-GBDT和GWO-GBDT相对比,建模精度和稳定性明显提高,验证了BGWO的有效性。展开更多
Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andru...Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andrun NAS Benchmarks on the Itanium machine. This paper briefly describes the performance of orcc, sgicc and gcc inthe following 3 ways: execution time, compilation time, and executable file size. The results show that orcc has near-ly the same performance as sgicc, which is 2 fold faster over gcc in the aspect of execution time. We also find that evenwith the best-optimized program, the utilization ratio of process resources is no more that 70%.展开更多
文摘为实现XML数据库的性能评测,提出基于TPC-C的XML数据库测试方案。针对XML数据库特性,对其数据结构、查询事务语句进行定制,将原有9张表映射成5个XML Schema文件,按照SQL/XML标准重写负载事务。应用该方案对SQL Server 2005数据库进行测试,结果表明显示的各项事务特征均与TPC-C基准相同。
基金supported by the National Key Research and Development Program of China (2022ZD0114900).
文摘The release of the generative pre-trained transformer(GPT)series has brought artificial general intelligence(AGI)to the forefront of the artificial intelligence(AI)field once again.However,the questions of how to define and evaluate AGI remain unclear.This perspective article proposes that the evaluation of AGI should be rooted in dynamic embodied physical and social interactions(DEPSI).More specifically,we propose five critical characteristics to be considered as AGI benchmarks and suggest the Tong test as an AGI evaluation system.The Tong test describes a value-and ability-oriented testing system that delineates five levels of AGI milestones through a virtual environment with DEPSI,allowing for infinite task generation.We contrast the Tong test with classical AI testing systems in terms of various aspects and propose a systematic evaluation system to promote standardized,quantitative,and objective benchmarks and evaluation of AGI.
文摘含高比例新能源交直流混联电网的稳定特性已发生深刻变化,功角稳定依然是威胁系统安全运行的关键问题,相关研究对标准算例的真实性、合理性及代表性提出更高的要求。该文根据实际电网拓扑和数据,构建适用于功角稳定特性研究的功角稳定机电暂态仿真算例(Chinese society for electricalengineering-rotoranglestability,CSEE-RAS),该系统以500kV为主网架,包含2个区域、1个交流通道、1个直流通道。提供2种运行方式,分别对应动态、暂态功角稳定场景,上述场景新能源出力占比均在50%以上。考虑新能源出力占比、机组接入位置和控制策略等因素,量化不同因素对稳定水平的影响。敏感性分析结果表明,该算例较为全面地反映了机电暂态尺度下的不同功角稳定特性,且具有灵活的拓展能力,可为功角稳定分析与控制的相关研究提供基础平台,有助于不同结论的横向比较和研究人员科研效率的提升。
文摘针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在种群迭代阶段采用重心反向学习的最优适应度权重更新策略,平衡算法的勘探与开发。16组基准函数测试结果表明,改进后算法能自适应跳出局部最优,在加快算法收敛速度的同时提高全局收敛能力与精度。将BGWO应用于PV型旋风分离器粒级效率GBDT(gradient boosting decision tree)的建模,提高了GBDT的精度,模型相关系数0.980,均方误差0.00079,BGWO-GBDT与GBDT、PSO-GBDT和GWO-GBDT相对比,建模精度和稳定性明显提高,验证了BGWO的有效性。
文摘Itanium is the first generation product processor based on IA-64 architecture. ORC(Open Research Compil-er )provides an open source IPF(Itanium Processor Family)research compiler infrastructure. We have compiled andrun NAS Benchmarks on the Itanium machine. This paper briefly describes the performance of orcc, sgicc and gcc inthe following 3 ways: execution time, compilation time, and executable file size. The results show that orcc has near-ly the same performance as sgicc, which is 2 fold faster over gcc in the aspect of execution time. We also find that evenwith the best-optimized program, the utilization ratio of process resources is no more that 70%.
