基于分位图方法的股票市场分析

复杂网络已被广泛应用于探究复杂系统的规律.文章使用分位图方法,分别将中国市场的上证指数、深证成指、中国香港恒生指数和美国市场的纳斯达克指数、道琼斯工业指数和标准普尔指数六支股指日收盘价序列映射到复杂网络,对股指分位图的特性进行分析,探究这两个的股票市场网络结构的变化.结果表明,首先同一市场的股指序列分位图网络特性较为接近,而不同市场之间的差别较大;其次,中国的上证指数和深证成指具有长程相关性,中国香港恒生指数较为随机,而美国市场的三支股指序列偏反长程相关;最后,两个市场的分位图网络存在不同的社团结构.该方法从宏观的角度揭示不同地区股票市场的性质和潜在动力学行为,并且可以为股指趋势预测提供丰富的信息.

基于居家办公用户需求的智能办公桌设计研究

文章对智能办公桌行业的发展现状进行分析,并对家用智能办公桌进行设计研究。结合kano模型,调研市场上传统的办公家具及已有的智能办公家具,并查阅相关文献,分析目标人群对家用智能办公桌的需求,在满足实用性的前提下,探索性构建家用智能办公桌需求模型。根据构建出的Better-Worse系数分析四分位图,总结得出家用智能办公桌设计改进方向为智能升降、无线充电、语音系统、灯光调节等,并依据总结出的改进方向对家用智能办公桌进行设计与实践。该智能办公桌设计可通过智能升降及灯光自动调节的功能满足用户身体机能的需求,减少用户在家庭办公过程中的脊椎及眼部疲劳度;通过无线充电的功能满足用户对于便利性的需求,提升创新性体验;通过智能语音的功能满足用户对个性化服务以及工作效率提升的需求;通过桌面便携调节功能满足用户对于家庭空间利用的需求。通过对智能办公桌的设计与研究,为以后家用智能办公桌的发展提供参考。

广州市科技创新发展水平的差异性分析

科技创新是新时代粤港澳大湾区经济实现高质量发展的新兴驱动力,广州市科技创新的协调发展对粤港澳大湾区均衡发展有着至关重要的作用。本文基于2009—2017年广州市11个地区的空间面板数据,选取了反映科技创新发展水平的指标体系,使用稳健主成分分析方法计算稳健综合得分,评价了广州市科技创新发展水平,并利用分位图直观分析了广州市科技创新发展水平的差异性。研究发现:广州市科技创新发展水平不均衡,各地区存在显著差异。

人力资本与经济增长的时空演化:三明样本

人力资本是经济持续健康增长的重要源泉。本文以福建省三明市为例,对人力资本与经济增长的时空演化规律进行深刻剖析。结果表明,进入21世纪以来,三明市各县(市)人力资本与经济增长指数及二者耦合度均呈现不断上升的态势,但二者间存在空间分布的分异特性。尤其是该市中心区与东南区形成广阔的集聚区,而西北区却形成萧条区。对此,文章就促进该市人力资本与经济增长的协调演进提出对策建议。

混响室内模拟电磁衰落环境的一种普适性方法

针对无线通信中的电磁衰落问题,采用基于统计学理论的新方法在混响室中模拟了常见的电磁衰落环境。通过混合搅拌在混响室中得到大量独立采样点,利用统计学方法对这些样本进行筛选,使得筛选出的独立采样点的概率密度函数服从各种概率统计分布,选取相同位置的采样点来实现各种电磁衰落环境的模拟。通过拟合优度检验方法——K-S检验和分位图验证,该方法在混响室内成功模拟了瑞利分布和莱斯分布电磁衰落环境,开拓性地实现了对Nakagami分布、对数正态分布和韦伯分布电磁衰落环境的模拟,为混响室内模拟无线通信中的各种电磁衰落环境提供了普适性的方法。

Fine Mapping of AST Gene in Arabidopsis

The ast ( anthocyanin spotted testa) mutant, which was induced by carbon ion radiation, was a single recessive gene mutant of Arabidopsis thaliana (L.) Heynh. with spotted pigment in seed coats, and involved in the anthocyanin biosynthesis. To clone the AST gene by map-based cloning strategy, a series of molecular markers were designed according to the SNPs (single nucleotide polymophisms) and insertion/deletion polymophisms in the Arabidopsis database. With these molecular markers, the fine-structure mapping of the AST gene was finished, the AST locus was located in BAC clone T13M11. It was suggested that the AST candidate gene was T13M11. 8 in the T13M11 This gene was 1432 bp long with 6 exons and 5 introns. The putative protein of T13M11. 8 gene was similar to dihydroflavonol 4-reductase (DFR), which was an important enzyme in the anthocyanin biosynthesis pathway.

An interacting multiple model-based two-stage Kalman filter for vehicle positioning

To address the problem that a general augmented state Kalman filter or a two-stage Kalman filter cannot achieve satisfactory positioning performance when facing uncertain noise of the micro-electro-mechanical system（MEMS） inertial sensors, a novel interacting multiple model-based two-stage Kalman filter（IMM-TSKF） is proposed to adapt to the uncertain inertial sensor noise. Three bias filters are developed based on different noise characteristics to cover a wide range of noise levels. Then, an accurate estimation of biases is calculated by the interacting multiple model algorithm to correct the bias-free filter. Thus, the vehicle positioning system can achieve good performance when suffering from uncertain inertial sensor noise. The experimental results indicate that the average position error of the proposed IMMTSKF is 25% lower than that of the general TSKF.

Iris image Segmentation Based on Phase Congruency

Iris image segmentation is very important for an iris recognition system.There are always iris noises as eyelash,eyelid,reflection and pupil in iris images.The paper proposes a virtual method of segmentation.By locating and normalizing iris images with Gabor filter,we can acquire information of image texture in a series of frequencies and orientations.Iris noise regions are determined based on phase congruency by a group of Gabor filters whose kernels are suitable for edge detection.These regions are filled according to the characteristics of iris noise.The experimental results show that the proposed method can segment iris images effectively.

A NEW ONE-DIMENSIONAL CHAOTIC MAP WITH INFINITE COLLAPSES

This letter presents a new one-dimensional chaotic map with infinite collapses. Theoretical analyses show that the map has complicated dynamical behavior and ideal distribution.The map can be applied in chaotic spreading spectrum communication and chaotic cipher.

A Review of Molecular Makers Applied in Cowpea （Vigna unguiculata L. Walp.） Breeding

In recent years, with the rapid development of molecular biology, molecular markers have been widely used in genetic breeding of various crops including cowpea. However, molecular researches in cowpea are lack of systematic summary. This review presents an overview of accomplishments on different aspects of molecular markers in cowpea genetic breeding, such as genetic diversity analysis, genetic linkage map construction, QTL mapping, etc. Furthermore, it provides the discussion of some existing problems about molecular markers applied in cowpea breeding and the prospect of the future development. The authors find that SSR is the most frequently used molecular marker, while SNP has not been used in the genetic diversity analysis of cowpea. And the authors also conclude that more QTL of cowpea should be located and more molecular markers linked to resistance gene should be found. This will be useful for scientists and breeders to research cowpea with the aid of molecular markers, thus accelerating improvement of cowpea varieties.

An Automatic Segmentation of Kidney in Serial Abdominal CT Scans Using Region Growing Approach

Automatic kidney segmentation from abdominal CT images is a key step in computer-aided diagnosis for kidney CT as well as computeraided surgery. However, kidney segmentation from CT images is generally performed manually or semi-autornatically because of gray levels similarities of adjacent organs/tissues in abdominal CT images. This paper presents an efficient algorithm for segmenting kidney from serials of abdominal CT images. First, we extracted estimated kidney position （EKP） according to the statistical geometric location of kidney within the abdomen. Second, we analyzed the intensity distribution of EKP for several abdominal CT images and exploit an adaptive threshold searching algorithm to eliminate many other organs/tissues in the EKP. Finally, a novel region growing approach based on labeling is used to obtain the fine kidney regions. Experimental results are comparable to those of manual tracing radiologist and shown to be efficient.

创新驱动力比较及空间分布——基于模糊综合评价法

首先,从行政力、市场力、外向力和内源力四个维度构建了创新驱动力指标体系;其次,应用多级模糊综合评价模型,对中国大陆31个省(自治区、直辖市,不舍港、澳、台,下同)的创新驱动力进行了横向比较分析;最后,根据创新驱动力指数、行政力指数、市场力指数、外向力指数、内源力指数进行排名,并采用空间计量方法对评价结果进行空间相关性分析。从总体看,创新驱动力指数、行政力指数、市场力指数、外向力指数、内源力指数在中国大陆各省(直辖市、自治区)之间整体上具有显著的空间正自相关性,均表现出空间依赖性和空间集聚现象。从局部看,大多数省份位于高—高象限、低—低象限,表现出显著的空间正相关性;少数省份位于高—低象限、低—高象限,表现出显著的空间负相关性。

Detection and Separation of Event-related Potentials from Multi-Artifacts Contaminated EEG by Means of Independent Component Analysis

Event-related potentials (ERP) is an important type of brain dynamics in human cognition research. However, ERP is often submerged by the spontaneous brain activity EEG, for its relatively tiny scale. Further more, the brain activities collected from scalp electrodes are often inevitably contaminated by several kinds of artifacts, such as blinks, eye movements, muscle noise and power line interference. A new approach to correct these disturbances is presented using independent component analysis (ICA). This technique can effectively detect and extract ERP components from the measured electrodes recordings even if they are heavily contaminated. The results compare favorably to those obtained by parametric modeling. Besides, auto-adaptive projection of decomposed results to ERP components was also given. Through experiments, ICA proves to be highly capable of ERP extraction and S/N ratio improving.

Experimental Study on the Dam-Break Hydrographs at the Gate Location

When studying the dam-break flow phenomenon,the basic hydrodynamic features of the dam-break flow at the gate location should be verified primarily.In this study,laboratory experiments were performed in a rectangular and horizontal flume with the same initial water head setting on the dry and wet downstream bed conditions.Water surface elevation was extracted through image analysis and validated by comparing with the data measured using a wave gauge.Temporal variation of the water surface elevation at the gate location,quantified in terms of high-speed video recorded images,can be divided into three stages,the sharp decreasing stage,the relatively steady stage,and the gradually decreasing stage.Applicability of several classic analytical solutions of the dam-break problem at the gate location was validated using present experimental data.Ritter's solution is effective for the dry bed condition while Stoker's solution could be applied to the wet bed case,and both are only applicable during the steady stage.Lin' solution reproduces the gate-site hydrographs well during both the relatively steady and the gradually decreasing stages,especially for the condition under which the down-upstream water depth ratio is smaller than 0.138.

农村土地流转工业条件的经验研究——基于全局莫兰指数的检验

推进农村土地流转对实现现代化农业意义重大。农村土地流转促进了土地规模集中,导致农业生产结构的变化。传统农作物种植逐渐被高附加值经济作物取代。这要求工业部门做出调整。因此,农村土地流转需具备相应的工业条件。利用2000~2014年经验数据,基于空间分位图与莫兰散点图分析了土地亩均产值与亩均工业强度的统计关系。结论表明,工业强度与亩均产值之间存在显著正向关系。建议完善地区农业配套工业设施,为土地流转构建良好的工业环境。

基于无线传感器网络定位技术的图书馆智能管理创新

"互联网+"时代,信息技术的发展对图书馆的智能化管理工作提出了更高的要求。文章概述了无线传感器网络与定位技术,重点讨论了如何将WSN定位技术运用到图书智能管理,通过定位技术与大数据、云计算等信息技术的结合,推动图书馆智能系统建设和智能化发展。

A Novel Bit-level Image Encryption Method Based on Chaotic Map and Dynamic Grouping

In this paper,a novel bit-level image encryption method based on dynamic grouping is proposed.In the proposed method,the plain-image is divided into several groups randomly,then permutation-diffusion process on bit level is carried out.The keystream generated by logistic map is related to the plain-image,which confuses the relationship between the plain-image and the cipher-image.The computer simulation results of statistical analysis,information entropy analysis and sensitivity analysis show that the proposed encryption method is secure and reliable enough to be used for communication application.

Earthquake deformation field characteristics associated with the 2010 Yushu M_s7.1 earthquake

The spatial distribution and characterization of a heavily damaged area can be determined by studying surface ruptures of seismogenic faults.If the distribution of surface ruptures can be obtained shortly after they occur,then areas heavily damaged by an earthquake can be readily identified.The information can then be used as a guide for earthquake relief programs.In this paper,an intensity offset-tracking method applied to an ALOS PALSAR image is used to map the Yushu earthquake rupture and to identify the faults activated by the earthquake.Azimuthal displacement analysis indicates that the surface rupture is about 55 km long,running from the epicenter to the southeast,trending N310°W,with a relative displacement of～1 m characterized by sinistral slip.The result of range displacement observations indicates that the north wall of the fault is dominated by decreases(i.e.,uplift in line of sight observations) ,whereas in the south wall of the fault,the range displacement is dominated by increases(drops in line of sight observations) .Given the position from which the images were recorded,this means that the north wall moves westward,and the south wall move eastward,i.e.,left-lateral slip motion across the fault.Finally,an earthquake disaster assessment using computer-assisted image analysis software shows that buildings near the fault rupture have been destroyed most heavily;therefore,the shape of the heavily damage belt is controlled partially by the fault rupture's geometry and the damage degree relates to the magnitude of displacement field.

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Analysis of forest canopy hemisphere images is one of the most important methods for measuring forest canopy structure parameters. In this study, our main focus was on using circular image region segmentation, which is the basis of forest canopy hemispherical photography. The boundary of a forest canopy hemisphere image was analyzed via histogram, rectangle, and Fourier descriptors. The image boundary characteristics were defined and obtained based on the following：（1） an edge model that contains three parts, i.e., step, ramp, and roof;（2） boundary points of discontinuity;（3） an edge that has a linear distribution of scattering points. On this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphere image, fitting the circular boundary and computing the center and radius by the least squares method. The method was unrelated to the parameters of the image acquisition device. Hence, this study lays a foundation for automatically adjusting the parameters of high-performance image acquisition devices used in forest canopy hemispherical photography.

Composition Operators from α-Bloch Spaces into Q_K Type Spaces

Suppose φ is an analytic map of the unit disk D into itself, X is a Banach space of analytic functions on D. Define the composition operator Cφ: Cφf = f °φ, for all f ∈ X. In this paper, the boundedness and compactness of the composition operators from α-Bloch spaces into QK(p,q) and QK,0(p,q) spaces are discussed, where 0 < α < ∞.