Prevention from Soft Errors via Architecture Elasticity

Due to the decreasing threshold voltages, shrinking feature size, as well as the exponential growth of on-chip transistors, modern processors are increasingly vulnerable to soft errors. However, traditional mechanisms of soft error mitigation take actions to deal with soft errors only after they have been detected. Instead of the passive responses, this paper proposes a novel mechanism which proactively prevents from the occurrence of soft errors via architecture elasticity. In the light of a predictive model, we adapt the processor architectures h01istically and dynamically. The predictive model provides the ability to quickly and accurately predict the simulation target across different program execution phases on any architecture configurations by leveraging an artificial neural network model. Experimental results on SPEC CPU 2000 benchmarks show that our method inherently reduces the soft error rate by 33.2% and improves the energy efficiency by 18.3% as compared with the static configuration processor.     

An Elastic Architecture Adaptable to Various Application Scenarios

The quantity of computer applications is increasing dramatically as the computer industry prospers. Meanwhile, even for one application, it has different requirements of performance and power in different scenarios. Although various processors with different architectures emerge to fit for the various applications in different scenarios, it is impossible to design a dedicated processor to meet all the requirements. Furthermore, dealing with uncertain processors significantly aggravates the burden of programmers and system integrators to achieve specific performance/power. In this paper, we propose elastic architecture （EA） to provide a uniform computing platform with high elasticity, i.e., the ratio of worst-case to best-case performance/power/performance-power trade-off, which can meet different requirements for different applications. It is achieved by dynamically adjusting architecture parameters （instruction set, branch predictor, data path, memory hierarchy, concurrency, status~zcontrol, and so on） on demand. The elasticity of our prototype implementation of EA, as Sim-EA, ranges from 3.31 to 14.34, with 5.41 in arithmetic average, for SPEC CPU2000 benchmark suites, which provides great flexibility to fulfill the different performance and power requirements in different scenarios. Moreover, Sim-EA can reduce the EDP （energy-delay product） for 31.14% in arithmetic average compared with a baseline fixed architecture. Besides, some subsequent experiments indicate a negative correlation between application intervals＇ lengths and their elasticities.     

纳米陶瓷热喷涂若干问题的试验研究

就制备Al2O3-3TiO2纳米陶瓷涂层的热喷涂系统热源，焰流速度和纳米陶瓷棒进行了试验研究，提出了采用低温、高速、强力、纳米陶瓷棒制备纳米陶瓷涂层的热喷涂工艺。     

碳酸钙对乙烯-丙烯酸丁酯共聚物阻燃与力学性能及热降解行为影响研究

采用极限氧指数法、热重分析和差示扫描量热分析等研究了碳酸钙（CaCO3）对乙烯-丙烯酸丁酯共聚物（EBA）阻燃及热降解行为的影响，探讨了CaCO3对EBA力学性能和熔体流动速率的影响。结果表明，CaCO3降低了EBA的拉伸强度、断裂伸长率和熔体流动速率，但复合阻燃材料仍具有良好的加工性能；当CaoCO3含量为60％（质量分数，下同）时，阻燃材料的极限氧指数可达28．5％。CaCO3通过EBA在热降解过程中与之发生化学反应来改变EBA的热降解行为，提高在高温下的热稳定性，降低EBA的热降解速率，促进高温下成炭在凝缩相中发挥阻燃作用。此外，CaCO3与EBA在热降解过程中形成隔热、隔氧的多孔泡沫膨胀结构，可进一步加强阻燃效果。     

重庆市大气总悬浮颗粒物中有机碳和元素碳污染特征

在四个季节采样的基础上,本文报道了重庆主城7个采样点的总悬浮颗粒物中有机碳和元素碳的时间与空间分布特征,探讨了OC、EC和OC/EC比值时空分布并且与国内外一些城市进行比较.结果表明重庆市主城区大气TSP中有机碳和元素碳全年平均浓度分别为60.84 μg/m3,11.51 μg/m3.其中OC/EC为5.64＞2,说明重庆市存在二次污染.且其浓度季节变化也比较明显,有机碳最大浓度出现在秋季105.8 μg/m3,最低浓度出现在夏季36.50 μg/m3,元素碳最大浓度出现在冬季15.10 μg/m3,最低浓度出现在春季9.00μg/m3.就空间分布而言,有机碳浓度最高值在南岸区84.27μg/m3,北碚区对照点最低15.67 μg/m3.元素碳浓度最高值出现在江北区17.37μg/m3,北碚区对照点最低3.55μg/m3.同时,与国内外城市比较发现重庆市有机碳浓度最高,元素碳浓度与北京相当,比美国3个城市高,比齐齐哈尔市低.     

城市轨道交通电能质量管理系统的研究与设计

随着城市轨道交通的迅速发展,以及智能电网的建设,轨道交通的电能质量越来越受到供、用电双方共同的重视,因此,亟需建立轨道交通电能质量管理系统。本文首先介绍了轨道交通电能质量管理系统的研究背景与现状,然后给出了电能质量管理系统的架构设计,并在此基础上提出电能质量系统统计与分析、评估的方案,有效地提高了运营管理人员的工作效率和有效性。     

Rapid pyrolysis of brown coal and oil shale

A brown coal, peat and oil shale were subjected to a rapid pyrolysis process and medium-heat-value gases together with tar were collected. The char residue was of high activity and suitable for gasification to create a two-stage gasification system. The coal-tar is used for manufacturing liquid fuels and chemicals.     

国库信息系统监控方案的设计

该文以运行在银行端国库信息系统为例,以提高生产运行过程中运维自动化程度为目的,研究了系统运行中的联机交易、批量运行、应用可用性等特点.在对监控需求进行分析的基础上,设计了数据采集层、数据展示层、应用展示层3层系统监控结构,对采集到的运行数据进行处理.通过Web服务器、邮件系统、消息服务平台进行展示和报警,目前该系统设计可以充分满足实际运维需要,保障了国库信息系统的安全正常运行.     

具有谐波减速器的柔性关节参数辨识

为了辨识具有谐波减速器的柔性关节模型的关键参数,设计了一套基于多传感器融合的离线辨识方法,根据电机的位置传感器、电流传感器和关节力矩传感器的实验数据完成柔性关节模型关键参数的辨识.首先,建立采用谐波减速器柔轮输出的柔性关节模型;然后,使用正反转加载力矩的方法辨识出电机的力矩系数;并在空载的情况下,由关节力矩和电机输出力矩分别辨识出关节端和电机端的摩擦力;最后,采用敲击法初步辨识出关节的刚度和阻尼后,在关节位置受限条件下,逐渐增加电机输出力矩,得到柔性关节刚度和关节力矩的非线性关系.多次实验的结果显示,辨识出的参数具有较高的重复性,验证了该方法的有效性.     

压力容器应力应变在线测量系统研究

应用Ｖｉｓｕａｌ Ｂａｓｉｃ软件开发了一套压力容器的应力采集与处理系统，将ＩＢＭ－３８６微机与ＹＪＤ－１７型应变仪联机，用微机来控制测点应变的采集与处理，并将大型结构分析软件ＳＡＰ５嵌入本系统。