A note on worst-case performance of heuristics for maintenance scheduling problems

We study a machine scheduling model in which job scheduling and machine maintenance activities have to be considered simultaneously. We develop the worst-case bounds for some heuristic algorithms, including a sharper worst-case bound of the SPT schedule than the results in the literature, and another bound of the EDD schedule.     

A new selective population transfer experiment using a double pulsed field gradient spin-echo

A new pulse sequence is proposed for the determination of scalar coupling correlation in small- and medium-sized organic compounds. The method uses a combination of the double pulsed field gradient spin-echo (DPFGSE) and the selective population transfer (SPT) techniques and is shown to be useful in the analysis of complex spectra with many overlapped signals. The usefulness of this method in the structural elucidation of natural substances is demonstrated using strychnine and digitoxin as examples.     

Detection of Anomalous Diffusion with Deep Residual Networks

Identification of the diffusion type of molecules in living cells is crucial to deduct their driving forces and hence to get insight into the characteristics of the cells. In this paper, deep residual networks have been used to classify the trajectories of molecules. We started from the well known ResNet architecture, developed for image classification, and carried out a series of numerical experiments to adapt it to detection of diffusion modes. We managed to find a model that has a better accuracy than the initial network, but contains only a small fraction of its parameters. The reduced size significantly shortened the training time of the model. Moreover, the resulting network has less tendency to overfitting and generalizes better to unseen data.     

粉喷桩单桩承载力确定方法的比较

粉喷桩在高速公路软土地基处理中得到了广泛的应用,但其承载力的合理确定是工程实际中关心的一个重要问题。通过对工程中常用的几种粉喷桩单桩承载力确定方法的比较,分析了各自存在的问题和适用条件,提出了在实际工程应用中确定水泥搅拌桩单桩承载力的选用建议。     

Minimizing the total completion time in a single-machine scheduling problem with a learning effect

This paper introduces a new time-dependent learning effect model into a single-machine scheduling problem. The time-dependent learning effect means that the processing time of a job is assumed to be a function of total normal processing time of jobs scheduled in front of it. In most related studies, the actual job processing time is assumed to be a function of its scheduled position when the learning effect is considered in the scheduling problem. In this paper, the actual processing time of a job is assumed to be proportionate to the length and position of the already scheduled jobs. It shows that the addressed problem remains polynomially solvable for the objectives, i.e., minimization of the total completion time and minimization of the total weighted completion time. It also shows that the shortest processing time (SPT) rule provides the optimum sequence for the addressed problem.     

How good are SPT schedules for fair optimality criteria

We consider the following scheduling setting: a set of n tasks have to be executed on a set of m identical machines. It is well known that shortest processing time (SPT) schedules are optimal for the problem of minimizing the total sum of completion times of the tasks. In this paper, we measure the quality of SPT schedules, from an approximation point of view, with respect to the following optimality criteria: sum of completion times per machine, global fairness, and individual fairness.     

On the use of multiple interpolation series in scaled particle theory: improved predictions and limitations

We propose further modifications to recent formulations of the scaled particle theory (SPT) of hard particle fluids. In any formulation of SPT, a number of conditions are applied to the central function G. As the exact form of G is unknown, a form must be assumed. Representing G with more than one series has recently been shown (Siderius and Corti, J. Chem. Phys. 127, 144502, 2007) to lead to improved planar surface tension predictions with little change in the already accurate pressure, excess chemical potential and fluid structure predictions. Another condition on G that includes the curvature of the radial distribution at contact was not, however, invoked in this previous work. We incorporate here this additional condition into the multiple series approach, resulting in further improvements to the SPT predictions. We also consider a number of permutations of the multiple interpolation series to explore the limitations of this approach and again find that increasing the number of series will not by itself lead to better predictions of the properties of the hard sphere fluid.     

Recording head field for SPT head combined with hard/soft magnetic composite pillar array media

The head field distribution for hard/soft magnetic composite pillar array media (CPA media) is significantly different from that of the conventional patterned media. The head field distribution for a CPA media-single-pole-type (SPT) head system which assumes 1 Tbits/in² recording is calculated by the three dimensional finite elements method. One of the features of the system is that a magnetic flux concentrates in a hard magnetic unit. The system is found to yield 80% of the field strength of SPT head and continuous SUL media system.     

地基沉降计算新方法的探索

目前地基沉降理论计算方法基本上把沉降分段计算,事实上,主、次固结沉降是同时发生的。本文在实践基础上提出用静力触探法和瞬态R波法进行地基沉降计算,通过理论推导并与实测资料进行对比,论证了这两种方法都是快捷有效且具有发展前途的方法。     

基于尖点突变模型的地震液化和孔压研究

地震液化是一种严重的自然灾害，然而如何准确判断液化目前作的还很不成功。本文以经过持时修正的能量函数和经过粘粒及上覆压力修正的标贯击数为控制变量，以孔压发展为状态变量，根据液化的物理意义、室内孔压发展曲线的特点和国内外实测液化资料，建立了基于修正Zeeman突变方程的孔压液化发展模型。在此基础上，利用统计学中控制“弃真”概率的方法，确定了分叉曲线和新旧坐标之间的转换关系并且从统计的角度给出了不同土的孔压发展曲线。从孔压发展曲线看，对于R＞0的任何土，超静水压力均达不到1，其实这正好反映了宏观液化现象。在宏观震害中，只要有喷水冒砂现象即认为是液化，超静水压力只要能克服埋深而无须达到上覆压力即可使地下水到达地面从而显现宏观液化现象。检验结果表明这一模型是合理的。