基于点云模型的人体尺寸提取算法

针对人体尺寸自动提取的问题,提出一种基于PCL点云库的交互式算法。通过单台Microsoft Kinect采集人体点云数据,使用邻域平均法进行去噪预处理;通过人机交互的方式选取特征点得到所对应的点云轮廓;采用改进的凸包算法估算人体胸围、腰围、脖围尺寸。实现了全面的非接触式人机交互,具有操作便捷、速度快的特点。实验结果表明交互式人体尺寸提取方法能够适用于不同人群,改进的凸包算法能够有效地提高尺寸精度;提取的人体尺寸满足GB/T 23698-2009的精度要求。     

Thiol-dependent serine alkaline proteases from Bacillus sp. HR-08 and KR-8102

Two Bacillus sp. strains, HR-08 and KR-8102, isolated from soil of the west and north parts of Iran were screened on gelatin agar medium for their ability to produce alkaline protease. The enzymes were active in a wide pH range (6.0–11.0) and stable in the alkaline range (7.0–12.0). The optimum temperatures for the protease from HR-08 and KR-8102 were 65 and 50°C, respectively. The irreversible thermoinactivation of HR-08 and KR-8102 proteases showed that the stability of HR-08 enzyme was higher than that of KR-8102 and the half-lives of these enzymes were 95 and 32 min at 50°C, respectively. In the presence of 10 mM Ca²⁺, HR-08 retained 100, 90, and 20% of its initial activity after heating for 30 min at 50, 60, and 70°C, respectively. Enzymes were inhibited by phenylmethylsulfonyl fluoride and iodoacetate. After inhibition by iodoacetate, both enzymes were reactivated by dithiothreitol. These data show that the enzymes seem to be thiol-dependent serine alkaline proteases. The enzymes especially from HR-08 were stable in the presence of H₂O₂, surfactants, and local detergents; their activities were enhanced in the presence of 5 mM Fe²⁺; and the presence of 5mM metal ions such as Mg²⁺, Cu²⁺, and Mn²⁺ produced almost no effect.     

A parallel implementation of overlapping Schwarz method for the dual reciprocity method

We present a parallel algorithm for the overlapping domain decomposition boundary integral equation method for two dimensional partial differential equations. In addition to the improvement of the ill-conditioning and the computational efficiency achieved by domain partitioning, using a parallel computer with p processors can offer up to p times efficiency. Assuming direct solution is used throughout, partitioning the domain into p subregions and employing a processor for each subproblem, overall, result in p² times efficiency over using a single domain and a single processor, taking into account that a sequential algorithm of the underlying method can improve the computational efficiency at least p times over using a single domain. Some numerical results showing the efficiency of the parallel technique will be presented.     

Improvements in the treatment of stress constraints in structural topology optimization problems

Topology optimization of continuum structures is a relatively new branch of the structural optimization field. Since the basic principles were first proposed by Bendsøe and Kikuchi in 1988, most of the work has been dedicated to the so-called maximum stiffness (or minimum compliance) formulations. However, since a few years different approaches have been proposed in terms of minimum weight with stress (and/or displacement) constraints.These formulations give rise to more complex mathematical programming problems, since a large number of highly non-linear (local) constraints must be taken into account. In an attempt to reduce the computational requirements, in this paper, we propose different alternatives to consider stress constraints and some ideas about the numerical implementation of these algorithms. Finally, we present some application examples.     

Domain-specific virtual processors as a portable programming and execution model for parallel computational workloads on modern heterogeneous high-performance computing architectures

We advocate domain-specific virtual processors (DSVP) as a portability layer for expressing and executing domain-specific computational workloads on modern heterogeneous HPC architectures, with applications in quantum chemistry. Specifically, in this article we extend, generalize and better formalize the concept of a domain-specific virtual processor as applied to scientific high-performance computing. In particular, we introduce a system-wide recursive (hierarchical) hardware encapsulation mechanism into the DSVP architecture and specify a concrete microarchitectural design of an abstract DSVP from which specialized DSVP implementations can be derived for specific scientific domains. Subsequently, we demonstrate, an example of a domain-specific virtual processor specialized to numerical tensor algebra workloads, which is implemented in the ExaTENSOR library developed by the author with a primary focus on the quantum many-body computational workloads on large-scale GPU-accelerated HPC platforms.     

Thermodynamic effects of single-qubit operations in silicon-based quantum computing

Silicon-based quantum logic is a promising technology to implement universal quantum computing. It is widely believed that a millikelvin cryogenic environment will be necessary to accommodate silicon-based qubits. This prompts a question of the ultimate scalability of the technology due to finite cooling capacity of refrigeration systems. In this work, we answer this question by studying energy dissipation due to interactions between nuclear spin impurities and qubit control pulses. We demonstrate that this interaction constrains the sustainable number of single-qubit operations per second for a given cooling capacity.     

GAPD: a GPU‐accelerated atom‐based polychromatic diffraction simulation code

GAPD, a graphics‐processing‐unit (GPU)‐accelerated atom‐based polychromatic diffraction simulation code for direct, kinematics‐based, simulations of X‐ray/electron diffraction of large‐scale atomic systems with mono‐/polychromatic beams and arbitrary plane detector geometries, is presented. This code implements GPU parallel computation via both real‐ and reciprocal‐space decompositions. With GAPD, direct simulations are performed of the reciprocal lattice node of ultralarge systems (～5 billion atoms) and diffraction patterns of single‐crystal and polycrystalline configurations with mono‐ and polychromatic X‐ray beams (including synchrotron undulator sources), and validation, benchmark and application cases are presented.     

云计算的蚕豆虫害可见-近红外光谱分类

利用蚕豆叶片可见-近红外反射光谱结合导数光谱对健康、少量、大量虫害三种等级的实验样本进行光谱特征分析,并选择虫害检测最优波段。采用Hadoop,Spark和VMWare虚拟机搭建云计算平台,使用MLlib机器学习库实现人工神经网络(ANN)和支持向量机(SVM)分类算法,并对三种等级蚕豆叶片全波段和最优波段光谱进行分类建模与预测。结果表明ANN虫害光谱分类模型准确率优于SVM虫害光谱分类模型,并且在云平台上运行效率更高,同时全光谱波段的预测准确性高于最优波段。通过扩展光谱数据集,云计算技术在光谱数据挖掘中的计算效率有显著提升。云计算分类检测可以为作物生物胁迫光谱识别提供新的技术和方法。     

Fast implementation of matched-filter-based automatic alignment image processing

Video images of laser beams imprinted with distinguishable features are used for alignment of 192 laser beams at the National Ignition Facility (NIF). Algorithms for determining the position of these beams enable control systems to perform the task of alignment. Real world beam images suffer from intensity fluctuation or other distortions, making algorithms susceptible to higher position measurement variability. Using matched filtering to identify beam positions results in greater stability of position measurement compared to centroiding techniques. However, this gain is achieved at the expense of extra processing time. This work explores the use of FPGAs to accelerate these computations. Results indicate a performance improvement of 20 times for an FPGA over a 3 GHz Pentium 4 processor.     

基于内存约束的一维负载平衡方法及其应用

在内存约束的条件下,提出一种新的一维负载平衡方法.该方法是一个迭代法,严格的理论证明表明,它可以线性收敛到最优剖分.针对典型的负载不平衡模型和三维分子动力学问题,1024个处理器上的实际应用表明,该方法可以取得较好的效果.