基于区块链的建设项目数据穿透机制研究

从建设项目数据不透明问题的现状出发,结合“穿透”理念和区块链的技术优势,研究建设单位视角下基于区块链的建设项目数据穿透模式和实现路径。然后提出从组织穿透、过程穿透和行为穿透三个维度进行建设项目的数据穿透,并分别论述区块链如何帮助实现建设项目三维度穿透机制。最后通过案例探讨区块链带来的建设项目价值的提升。     

Field study of a retaining wall constructed with clay-filled soilbags

This paper presents a field study of constructing retaining walls using soilbags that are formed by filling the excavated clayey soils into woven bags (geosynthetics). The strength and deformation of the soilbags filled with clayey soils were studied via laboratory tests. A 100?m testing retaining wall was constructed with soilbags in a waterway project. The lateral deformation, the lateral pressures and the surface settlements of the testing retaining wall were monitored during construction and after 7 months operation. The results show that the soilbags can increase the strength of clayey soils. After 7 months of the completion, the lateral deformation and the surface settlement of the testing retaining wall tend to be stable with the maximum values of 29.4?cm and 19.2?cm, respectively. The lateral earth pressure on the front retaining structure could be positively reduced owing to the interlayer's friction of soilbags. Compared to the conventional gravity concrete retaining wall, about 38% construction cost was saved in the 100?m testing retaining wall.     

Relatedness between numerically small Dutch Red dairy cattle populations and possibilities for multibreed genomic prediction

Red dairy breeds are a valuable cultural and historical asset, and often a source of unique genetic diversity. However, they have difficulties competing with other, more productive, dairy breeds. Improving competitiveness of Red dairy breeds, by accelerating their genetic improvement using genomic selection, may be a promising strategy to secure their long-term future. For many Red dairy breeds, establishing a sufficiently large breed-specific reference population for genomic prediction is often not possible, but may be overcome by adding individuals from another breed. Relatedness between breeds strongly decides the benefit of adding another breed to the reference population. To prioritize among available breeds, the effective number of chromosome segments (M_e) can be used as an indicator of relatedness between individuals from different breeds. The M_e is also an important parameter in determining the accuracy of genomic prediction. The M_e can be estimated both within a population and between 2 populations or breeds, as the reciprocal of the variance of genomic relationships. We investigated relatedness between 6 Dutch Red cattle breeds, Groningen White Headed (GWH), Dutch Friesian (DF), Meuse-Rhine-Yssel (MRY), Dutch Belted (DB), Deep Red (DR), and Improved Red (IR), focusing primarily on the M_e, to predict which of those breeds may benefit from including reference animals of the other breeds. All of these breeds, except MRY, are under high risk of extinction. Our results indicated high variability of M_e, especially between M_e ranging from ～3,500 to ～17,400, indicating different levels of relatedness between the breeds. Two clusters are especially important, one formed by MRY, DR, and IR, and the other comprising DF and DB. Although relatedness between breeds within each of these 2 clusters is high, across-breed genomic prediction is still limited by the current number of genotyped individuals, which for many breeds is low. However, adding MRY individuals would increase the reference population of DR substantially. We estimated that between 11 and 133 individuals from other breeds are needed to achieve accuracy of genomic prediction equivalent to using one additional individual from the same breed. Given the variation in size of the breeds in this study, the benefit of a multibreed reference population is expected to be lower for larger breeds than for the smaller ones.     

数据中心内服务器能耗数据采集及特征分析

数据中心的高能耗低能效问题正受到广泛关注与研究，但目前没有公开的数据中心内服务器能耗数据集供研究人员使用，且现有过滤式特征选择并不能满足运维人员的需求。为此，提出了一套模拟数据中心内服务器运行状态的仿真环境架构，基于该架构采集了服务器运行各类任务时的多项性能指标和能耗数据。然后将基于因果关系的特征选择应用于能耗数据集的特征分析中，构建出可解释的特征子集和能耗预测结果。实验结果表明，因果特征子集大小约为过滤式特征子集大小的1/3到1/6，并且使用因果特征子集训练的模型在75%的情况下都取得了最优预测精度。     

面向多表数据连接投影和连接顺序的优化方法

多表连接运算是大数据处理中常见的运算。类似于数据库运算中常见的连接操作,多表连接运算的顺序会对计算资源和传输资源的消耗产生巨大影响。对多表连接顺序的优化是一个经典的优化问题,同时每次连接中表的投影结果大小也会影响节点间传输的数据体积,因此整体连接的顺序和每次连接的投影关系都会对连接效率产生显著的影响,而在传统的优化策略中,往往不会考虑到中间投影关系的取舍问题,以及基于中间投影关系而对最优连接策略产生的影响。针对这个问题,建立了一种连接关系索引,能够在构建优化连接策略中调整每次连接的投影关系,及时删除冗余列,减少对传输资源的消耗,同时基于投影关系的优化调整连接顺序的优化策略,从全局考量上尽可能地同时减少对传输资源和计算资源的消耗。该优化策略在Flink系统实现后进行了实验,结果表明有显著的优化效果。     

基于相似系数法的冷源供水温度研究

针对中华鲟保育池冷冻水系统冷源设备选型采用经济性或生态因子进行单因素比选的不足,通过相似系数法对保育池不同水温工况下的经济性和生长影响因子赋予权重,提出了统筹经济指标和生长影响因子指标的综合评价指标。分析结果表明,21℃为保育池冷冻水系统最佳供水温度,不仅满足中华鲟生长对水温的要求,经济性也较好。将基于相似系数法的权重确定方法应用于保育池冷源供水温度的比选,提高了比选的客观性,对其他涉及主观性评价指标的方案比选具有一定的借鉴意义。     

基于区间犹豫模糊语言集的水资源多目标决策

以鄂北水资源配置工程为对象,研究大型调水工程背景下的多水源多目标优化配置。将鄂北地区水库分为充蓄水库、补偿水库与在线水库等3类,根据各类水库特点对鄂北水资源配置工程进行系统概化,建立以年缺水量最小和调水成本最低为目标函数的多水源多目标优化配置模型。采用权重系数法进行求解得到非劣解集。最后采用基于区间犹豫模糊语言与TOPSIS的多目标决策方法对各方案的缺水量与调水量作出评价并遴选出最优方案。研究结果表明:对鄂北水资源配置工程而言,缺水量与调水量的权重比为7∶3的方案综合评价最优,重视缺水的同时兼顾调水成本;基于区间犹豫模糊语言集与TOPSIS的水资源多目标决策方法经本文实例验证具有较高的稳定性与可行性。