石灰石矿山台阶边坡爆破振速安全阈值研究

爆破是矿山露采的必要手段,爆破振速安全阈值的确定对矿山台阶边坡的安全开采起着重要的作用。以四川兴联石灰石矿山台阶边坡为例,采用速度判别法,选取规范中的爆破振速安全阈值为拟静力法和动力显示分析法作参考;采用拟静力法,选取优势结构面作为潜在滑动面反演得到爆破振速安全阈值;采用ANSYS/LS-DYNA的动力显示分析法,建立台阶边坡模型,选取模拟监测点数据与实际监测数据进行对比,并结合质点振动速度与应力进行回归分析得到爆破振速安全阈值。通过对三种方法的对比研究得到,拟静力法与动力显示分析法得到的结果接近,且符合速度判别法中的规范。综合三种分析方法最终对台阶边坡爆破振速安全阈值进行合理取值。     

基于核磁共振代谢组学分析不同品种草莓的化学成分差异

目的采用基于核磁共振(nuclear magnetic resonance,NMR)的代谢组学方法对"丰香""久香""宁玉"和"甜查理"4个不同品种草莓进行指纹图谱比较和化学成分差异分析。方法采用主成分分析法综合评价4个不同品种草莓的整体分布状况;采用正交偏最小二乘判别分析法筛选并鉴别出引起不同草莓品种有所差异的潜在差异代谢物。结果研究发现,苹果酸在"丰香"草莓中含量最低,蔗糖含量则最高;蔗糖在"久香"草莓中的含量最低;丙氨酸、柠檬酸、天冬酰胺、D-葡萄糖和D-果糖在"宁玉"中含量最低;丙氨酸、苹果酸、柠檬酸、天冬氨酸和D-葡萄糖在"甜查理"中含量最高。结论基于NMR的代谢组学技术可以用于草莓品种的鉴别和化学成分的差异分析,并为草莓的品种溯源提供科学数据。     

基于模糊综合评判方法的水文地质类型评价

以开元矿井为例,在水文地质资料基础上,选定合适的指标,根据不同指标的重要程度确定各个指标权重,运用模糊综合评判理论建立矿井水文地质类型划分模型,运用该模型进行水文地质类型评价。     

Revisiting the Parallel Strategy for DOACROSS Loops

Journal of Computer Science and Technology - DOACROSS loops are significant parts in many important scientific and engineering applications, which are generally exploited pipeline/wave-front...     

WSN低功耗低时延路径式协同计算方法

针对云计算应用于无线传感器网络(Wireless Sensor Network,WSN)时延敏感型业务时存在的高传输时延问题,提出了一种WSN低功耗低时延路径式协同计算方法。该方法基于一种云雾网络架构开展研究,该架构利用汇聚节点组成雾计算层;在数据传输过程中基于雾计算层的计算能力分步骤完成任务计算,降低任务处理时延;由于汇聚节点计算能力较弱,时延降低将导致能耗增加,WSN工作寿命减短,为此提出能耗约束下的任务映射策略,并利用离散二进制粒子群优化(Binary Particle Swarm Optimization,BPSO)算法解决能耗约束下的时延优化问题。仿真结果表明,在相同的能耗约束下,对比其他算法,基于BPSO算法得出的映射方案能有效降低业务处理时延,满足时延敏感型业务的需求。     

水产品及其制品中大西洋鲑鱼实时荧光PCR检测方法建立

目的:三文鱼营养丰富,含有ω-3不饱和脂肪酸,深受大众喜爱,但存在产品标签标示错误、掺伪掺假、以次充好的现象。目前采用检测标准SN/T 3589.7—2013《出口食品中常见鱼类及其制品的鉴伪方法第七部》对鲑鱼成分检测,无法区分大西洋鲑鱼和其他种类的三文鱼。因此有必要建立一种用于区分上述几种三文鱼的快速检测方法。方法:研究建立了针对大西洋鲑鱼成分鉴定的实时荧光PCR法,并对该方法的特异性和检出限进行了验证。结果:该方法具有良好的特异性,检出限为1%(w/w)。结论:可应用于大西洋鲑鱼的日常检测,为监管部门提供技术支持。     

基于压缩感知的移动群智感知任务分发机制

针对移动群智感知任务中区域全覆盖感知成本过高问题，提出基于压缩感知的移动群智感知任务分发（CS-TD）机制。首先提出了感知任务整体成本模型，该模型综合考虑了参与感知任务的节点个数、节点的感知次数与数据上传次数；然后基于成本模型，分析感知节点的日常移动轨迹，结合压缩感知数据采集技术，提出了一种基于感知节点轨迹的压缩感知采样方法；其次通过区域全覆盖最少节点（RCLN）算法，选出最佳节点集合，对节点进行任务分配，利用压缩感知技术恢复节点数据；最后在多次感知任务的迭代中对感知节点的可信程度进行评定，保证任务方案的最优性。对CS-TD分发模型进行多次实验验证，与已有的CrowdTasker算法相比，CS-TD算法平均成本降低了30%以上。CS-TD模型能有效降低感知节点的消耗，能在全覆盖感知任务中降低整体感知成本。     

Why stop after 20 minutes? Breaks and target prevalence in a 60-minute X-ray baggage screening task

Current EU regulation restricts continuously reviewing X-ray images of passenger baggage to 20-min duration as a precautionary measure to prevent performance decrements in airport security officers (screeners). However, this 20-min limit is not based on clear empirical evidence on how well screeners can sustain their performance over time. Our study tested screeners in a 60-min simulated X-ray cabin baggage screening task. One group took 10-min breaks after 20 min of screening; the other group worked without breaks. We found no decrease in performance over 60 min in either group. Breaks did not affect performance, but they did reduce the amount of subjective distress. By varying target prevalence, we found that d_a with a slope of about 0.6 is a more valid measure of detection performance than d'. Target prevalence caused a criterion shift. Our results provide a basis for conducting field studies of prolonged screening durations, and open the discussion on whether more flexible break policies and work schedules should be considered.     

Discrimination the geographical origin of Yanchi Tan Lamb with different muscle sections by stable isotopic ratios and elemental profiles

In the study, lamb, feed and soil samples were collected from three regions of China in the year 2017 and 2018. The δ¹³C and δ¹⁵N values in lamb (defatted dry mass and lipids) and grass and the contents of nine elements in lamb, grass and soil were determined. The results indicated that except for Fe, Zn and Rb, most variables of lamb showed significant differences among two or three regions, and the contents of Fe, Sr and Cs showed significant differences between two years, and the contents of Cu and Zn showed significant differences among different muscle sections. Besides, significant correlations were found for δ¹³C between defatted lamb and lipid (r² = 0.973, P < 0.05) and for the element contents between lamb and soil. Finally, four key variables δ¹³C, δ¹⁵N, Sr and Mo were selected through stepwise canonical discriminant analysis with the cross-validation correct classification rate of 99.1%.