基于ARM的仪器管理系统设计与实现

针对学校等大型科研平台拥有的精密器材种类繁多、安置位置分散、操作流程特异、操作人员流动性大的现象,基于监测的思想设计了此仪器管理系统,旨在督促实验人员按稳妥的使用流程操作仪器,并为器材的更迭维修提供参考。系统分为终端、服务端两部分,终端通过检测电流来判断仪器状态,使用者使用需用有效IC卡辨别身份,终端相应给予声光提示,并且拍照留据。相应的状态情况可以通过网络传输到服务器,例如使用者有效卡号、报警照片等且客户端可以从服务端获取人员信息更新等资料。通过对本工程中心内部分仪器的监管测试表明,较好的提高了操作人员使用素质,提高了仪器管理水平。     

Interannual and intra-annual cycles of satellite-derived chlorophyll-a concentrations in the Caspian Sea

Variability of phytoplankton in the Caspian Sea (CS) is related to the complex orography, the variety of physical and chemical processes, and climatic indices. Here, interannual and intra-annual variability of satellite-derived chlorophyll-a concentrations (Chl-a) were studied using wavelet analysis during 2002–2019 in different regions of the CS. Self-Organizing Maps (SOM) analysis performed to classify the CS into the areas of similar variability of satellite-derived Chl-a. Wavelet spectral analysis showed that the Chl-a variability regulated by four primary periodic cycles: 0.5-year, 1-year, 2 to 2.5-year, and 3 to 5-year. The 0.5 and 1-year wavelet cycles mostly depicted the intensity of seasonality patterns. The 2–2.5-year and 3–5-year cycles of Chl-a showed non-stationary coherence with corresponding low-frequency cycles of NAO and ENSO. The 3–5-year wavelet amplitudes of Chl-a strongly correlated with NAO and ENSO in the southern CS. Weak correlations of 2–2.5-year cycle wavelet amplitudes of Chl-a with NAO and ENSO suggested that variations do not always directly translate to a biological response. A negative anomaly in the Chl-a autumn peaks observed during 2011–2016 in the middle and southern CS, when NAO phases were persistently positive. The interannual variations of summer peaks in the northern CS, and autumn peaks in the middle and southern CS were broadly related to the precipitation. SST and wind stress. Moreover, it was shown that the Volga discharge has a significant influence on Chl-a variability in the northern CS.     

3D fingerprint reconstruction system using feature correspondences and prior estimated finger model

The paper studies a 3D fingerprint reconstruction technique based on multi-view touchless fingerprint images. This technique offers a solution for 3D fingerprint image generation and application when only multi-view 2D images are available. However, the difficulties and stresses of 3D fingerprint reconstruction are the establishment of feature correspondences based on 2D touchless fingerprint images and the estimation of the finger shape model. In this paper, several popular used features, such as scale invariant feature transformation (SIFT) feature, ridge feature and minutiae, are employed for correspondences establishment. To extract these fingerprint features accurately, an improved fingerprint enhancement method has been proposed by polishing orientation and ridge frequency maps according to the characteristics of 2D touchless fingerprint images. Therefore, correspondences can be established by adopting hierarchical fingerprint matching approaches. Through an analysis of 440 3D point cloud finger data (220 fingers, 2 pictures each) collected by a 3D scanning technique, i.e., the structured light illumination (SLI) method, the finger shape model is estimated. It is found that the binary quadratic function is more suitable for the finger shape model than the other mixed model tested in this paper. In our experiments, the reconstruction accuracy is illustrated by constructing a cylinder. Furthermore, results obtained from different fingerprint feature correspondences are analyzed and compared to show which features are more suitable for 3D fingerprint images generation.     

Fast and robust face recognition via coding residual map learning based adaptive masking

Robust face recognition (FR) is an active topic in computer vision and biometrics, while face occlusion is one of the most challenging problems for robust FR. Recently, the representation (or coding) based FR schemes with sparse coding coefficients and coding residual have demonstrated good robustness to face occlusion; however, the high complexity of l₁-minimization makes them less useful in practical applications. In this paper we propose a novel coding residual map learning scheme for fast and robust FR based on the fact that occluded pixels usually have higher coding residuals when representing an occluded face image over the non-occluded training samples. A dictionary is learned to code the training samples, and the distribution of coding residuals is computed. Consequently, a residual map is learned to detect the occlusions by adaptive thresholding. Finally the face image is identified by masking the detected occlusion pixels from face representation. Experiments on benchmark databases show that the proposed scheme has much lower time complexity but comparable FR accuracy with other popular approaches.     

General triangular midpoint subdivision

In this paper, we introduce triangular subdivision operators which are composed of a refinement operator and several averaging operators, where the refinement operator splits each triangle uniformly into four congruent triangles and in each averaging operation, every vertex will be replaced by a convex combination of itself and its neighboring vertices. These operators form an infinite class of triangular subdivision schemes including Loop's algorithm with a restricted parameter range and the midpoint schemes for triangular meshes. We analyze the smoothness of the resulting subdivision surfaces at their regular and extraordinary points by generalizing an established technique for analyzing midpoint subdivision on quadrilateral meshes. General triangular midpoint subdivision surfaces are smooth at all regular points and they are also smooth at extraordinary points under certain conditions. We show some general triangular subdivision surfaces and compare them with Loop subdivision surfaces.     

Matlab在线性代数教学中的应用研究

线性代数是工、管、理科各专业的数学必修课,是学生学习后续专业课的数学工具,同时也是研究生入学必考的科目。把Matlab应用到线性代数的教学中,在课堂上可以吸引同学们的注意力,激发学生学习本门课程的热情,提高教学效果。学生们在后续的专业课学习和工作中可以灵活使用线性代数这门数学工具。笔者结合课堂教学实践,举例说明Matlab在线性代数教学中的作用。     

概念代数在本体合并中的应用

本体合并是本体集成的一种较为有效的方式,是用于解决本体异构以实现本体资源重用和共享的一种方法。引入概念代数以弥补本体的概念深度表达不够、形式化程度低等缺陷。将本体与概念代数结合,提出一种基于概念代数的本体表示方法,其恰好符合领域专家构建本体的意识活动,可以更好地表达和处理知识。概念代数是一种抽象的数学结构,形式化程度较高,并且其概念之间的认知关系更便于进行知识推理。利用概念代数将本体表示为可视化的概念网形式,进而利用概念代数的运算实现概念之间的合并及关联,提出一种基于概念代数的本体合并方法,是对概念代数应用到本体的一种尝试,为本体的处理提供了一个新的视角。     

Euclidean Distance Mapping for computing microstructural gradients at interfaces in composite materials

This paper presents an image analysis procedure using Euclidean Distance Mapping to compute microstructural gradients at interfaces in composite materials. This method is capable of producing phase distribution plots at single pixel strip width very quickly and efficiently. Compared to conventional dilation-subtraction strip analysis, the new method is faster, more flexible and is not constrained by feature geometry and boundary conditions. This allows for truly random and unbiased sampling. The new method was applied to investigate microstructural gradients at the interfacial transition zone (ITZ) of an ordinary Portland cement concrete. The average results show strong gradients in anhydrous cement and detectable porosity at the ITZ, but this is highly variable from location to location. The overall ITZ characteristics depend on the amount of calcium hydroxide deposited on aggregate particles. The new method was able to measure the effect of these calcium hydroxide deposits on the porosity gradient, which has not been reported before.     

多交叉混沌选择反向小生境遗传算法

为提高小生境遗传算法的全局以及局部搜索能力,提出一种多交叉混沌选择反向小生境遗传算法。利用分段线性混沌映射函数生成一组混沌数序列,在每次进行交叉操作前,依据序列中对应元素的数值大小选择不同的交叉算子进行操作,通过小生境遗传算法产生较优的子代种群。针对子代种群,应用反向搜索策略获得反向种群,在子代种群和反向种群中进行精英选择得到最终新种群,以进一步加强算法的局部寻优能力。仿真实验结果表明,该算法在最优解及均值方面好于小生境遗传算法,从而证明其可行性和优越性。     

格值一阶逻辑LF(X)中的α-语义归结方法

自动推理是人工智能的一个重要研究方向,基于归结原理的自动推理因易于在计算机上实现而得到广泛研究。语义归结是对归结原理的一种改进,它利用限制参与归结子句类型和归结文字顺序的方法来提高推理效率。为了提高基于格蕴涵代数的格值逻辑的α-归结原理的效率,将语义归结策略应用于α-归结原理。首先给出了格值一阶逻辑系统中的α-语义归结概念和α-语义归结演绎概念,接着讨论了格值一阶逻辑系统的α-语义归结方法,并证明了其可靠性和条件完备性,最后通过实例说明了其有效性。