基于云存储的电力系统访问控制方案设计

电力系统是一个由多个子系统构成的综合性系统,作为一个能够实现海量数据处理同时具有高实时性、高可靠性的管理控制平台,需要电力系统能够实现对所辖多个子系统进行复杂、细密、大范围的访问控制,这些条件要求能够设计出合理有效的访问控制模型。为了实现安全、可靠、高效的电力系统访问控制提出了将传统电力系统同云存储平台相结合的访问控制方案,通过云存储平台对数据进行存取可以达到大数据量、均衡负载、安全可靠的目的;通过添加可信度因子构建访问控制模型,根据不同用户的可行度计算值分配给以不同的权限,匹配其可操作的资源,实现了对于用户操作对象的细化识别。     

Simultaneous Enantiomeric Separation of Carfentrazone-Ethyl Herbicide and Its Hydrolysis Metabolite Carfentrazone by Cyclodextrin Electrokinetic Chromatography. Analysis of Agrochemical Products and a Degradation Study

The different activity and toxicity that the enantiomers of agrochemicals may have requires the development of stereoselective analytical methodologies enabling the individual determination of each enantiomer. The aim of this work was to develop the first Electrokinetic Chromatography methodology enabling the simultaneous enantiomeric separation of carfentrazone-ethyl herbicide and its hydrolysis metabolite carfentrazone. The use of an anionic cyclodextrin as chiral selector (captisol at 2.5% (w/v)) in a 25 mM acetate buffer, at a temperature of 30 °C, and an applied voltage (reverse polarity) of −30 kV, allowed the simultaneous separation of the four enantiomers of the two compounds studied in 6.8 min with enantiomeric resolutions of 5.0 for carfentrazone-ethyl and 5.1 for carfentrazone. Analytical characteristics of the developed method were evaluated and found adequate to achieve the quantitation of carfentrazone-ethyl and carfentrazone. Analysis of a commercial herbicide formulation showed the potential of the method for the quality control of these agrochemical products. Degradation studies for carfentrazone-ethyl revealed that no significant degradation took place in cleaned sand samples while a significant but not stereoselective degradation took place in soils for the whole period of time considered (seven days).     

面向结构网格自适应并行计算的矩形区域求差集快速算法

结构网格自适应程序需要使用矩形区域求差集算法计算网格层间数据依赖关系和网格层嵌套关系.原有的矩形区域求差集算法时间复杂度较高,成为该类应用大规模并行计算可扩展性能瓶颈.本文利用分而治之的方法,构造近似线性时间复杂度的矩形区域求差集快速算法,并利用区域分解实现该算法的并行计算.分别针对规则矩形区域和多层自适应网格的非规则矩形区域求差集问题,验证该算法的效率.结果表明,该算法具有近似线性计算复杂度,对于大规模计算问题,加速效果显著.     

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.     

量子显自极寒来——冷原子研究漫谈

冷原子体系的量子波动性、宏观量子相干性和人工可调控性,使其成为了一个全新的量子体系,其新颖的量子态和奇异物性的研究是国际上具有前瞻性和挑战性的前沿领域.自1995年实现稀薄气体玻色一爱因斯坦凝聚以来,从单组分、简单相互作用的研究逐渐过渡到多组分、复杂多体效应以及自旋一轨道耦合、非厄米、强关联、无序效应等新物理的研究.文...     

On the Computational Power of Molecular Heat Engines

A heat engine is a machine which uses the temperature difference between a hot and a cold reservoir to extract work. Here both reservoirs are quantum systems and a heat engine is described by a unitary transformation which decreases the average energy of the bipartite system. On the molecular scale, the ability of implementing a (good) unitary heat engine is closely connected to the ability of performing logical operations and classical computing. This is shown by several examples:

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.     

Enhanced sampling method in molecular simulations using genetic algorithm for biomolecular systems

We propose a molecular simulation method using genetic algorithm (GA) for biomolecular systems to obtain ensemble averages efficiently. In this method, we incorporate the genetic crossover, which is one of the operations of GA, to any simulation method such as conventional molecular dynamics (MD), Monte Carlo, and other simulation methods. The genetic crossover proposes candidate conformations by exchanging parts of conformations of a target molecule between a pair of conformations during the simulation. If the candidate conformations are accepted, the simulation resumes from the accepted ones. While conventional simulations are based on local update of conformations, the genetic crossover introduces global update of conformations. As an example of the present approach, we incorporated genetic crossover to MD simulations. We tested the validity of the method by calculating ensemble averages and the sampling efficiency by using two kinds of peptides, ALA3 and (AAQAA)₃. The results show that for ALA3 system, the distribution probabilities of backbone dihedral angles are in good agreement with those of the conventional MD and replica-exchange MD simulations. In the case of (AAQAA)₃ system, our method showed lower structural correlation of α-helix structures than the other two methods and more flexibility in the backbone ψ angles than the conventional MD simulation. These results suggest that our method gives more efficient conformational sampling than conventional simulation methods based on local update of conformations. © 2018 Wiley Periodicals, Inc.