SELF-INTERSECTION LOCAL TIME OF ADDITIVE LEVY PROCESS

This article discusses the problem of existence of jointly continuous self-intersection local time for an additive levy process. Here, 'local time' is understood in the sense of occupation density, and by an additive Levy process the authors mean a process X = {X(t),t∈ R+N} which has the decomposition X = Xi X2 … XN, each Xl has the lower index αl, α= min{α1,…, αN}. Let Z = (Xt2 - Xt1, …, Xtr - Xtr-1). They prove that if Nrα > d(r-1), then a jointly continuous local time of Z, i.e. the self-intersection local time of X, can be obtained.

LOCAL TIME ANALYSIS OF ADDITIVE LVY PROCESSES WITH DIFFERENT LVY EXPONENTS

Let X1 XN be independent, classical Levy processes on R^d with Levy exponents ψ1,…, ψN, respectively. The corresponding additive Levy process is defined as the following N-parameter random field on R^d, X（t） △= X1（t1） ＋ ... ＋ XN（tN）, At∈N. Under mild regularity conditions on the ψi＇s, we derive estimate for the local and uniform moduli of continuity of local times of X = {X（t）; t ∈R^N}.

Aflatoxin Contamination and Rancidity in Locally Processed Commercial Fish Feeds and Ingredients along the Value Chain in Wakiso and Kampala Districts, Uganda

Aflatoxin contamination and rancidity in locally processed commercial fish feeds and ingredients along value chains is a Public and Animal health hazard. The study established the level of aflatoxin contamination, peroxide value (PV), Anisidine value (AnV), and their associated factors at storage areas among farmers, processors, traders, factories, and landing sites in the Wakiso and Kampala districts. The value chain actors were purposively selected in a cross-sectional study based on access to the feed store and the use of locally processed commercial fish feeds on farms. Data collected were statistically analyzed in SPSS version 20. All the samples (45) were positive for aflatoxin contamination and PV with 51% (23/45) of samples being contaminated with “above acceptable” aflatoxin levels and 66.6% (30/45) of samples with “above acceptable” PV. The overall percentage of “above acceptable” AnV was 11/29 (37.9%). Samples from factories were within acceptable contamination levels. Multivariate logistic regression analysis revealed no significant difference between aflatoxin contamination, peroxide, and Anisidine value with storage factors for locally processed commercial fish feeds and ingredients. The study recommended the purchase of fish feeds from factories and a larger study on storage factors responsible for aflatoxin contamination and rancidity in fish feeds in Uganda.

The Effects of Positive Emotion on Global-Local Processing:An ERP study

Objective: A global-local processing task was adapted to be used in an event- related potential paradigm in order to examine the effects of positive emotion on

Multimode Process Fault Detection Using Local Neighborhood Similarity Analysis

Traditional data driven fault detection methods assume unimodal distribution of process data so that they often perform not well in chemical process with multiple operating modes. In order to monitor the multimode chemical process effectively, this paper presents a novel fault detection method based on local neighborhood similarity analysis(LNSA). In the proposed method, prior process knowledge is not required and only the multimode normal operation data are used to construct a reference dataset. For online monitoring of process state, LNSA applies moving window technique to obtain a current snapshot data window. Then neighborhood searching technique is used to acquire the corresponding local neighborhood data window from the reference dataset. Similarity analysis between snapshot and neighborhood data windows is performed, which includes the calculation of principal component analysis(PCA) similarity factor and distance similarity factor. The PCA similarity factor is to capture the change of data direction while the distance similarity factor is used for monitoring the shift of data center position. Based on these similarity factors, two monitoring statistics are built for multimode process fault detection. Finally a simulated continuous stirred tank system is used to demonstrate the effectiveness of the proposed method. The simulation results show that LNSA can detect multimode process changes effectively and performs better than traditional fault detection methods.

Source-Space Compressive Matched Field Processing for Source Localization

Source localization by matched-field processing （MFP） can be accelerated by building a database of Green＇s functions which however requires a bulk-storage memory. According to the sparsity of the source locations in the search grids of MFP, compressed sensing inspires an approach to reduce the database by introducing a sensing matrix to compress the database. Compressed sensing is further used to estimate the source locations with higher resolution by solving the β -norm optimization problem of the compressed Green＇s function and the data received by a vertieal/horizontal line array. The method is validated by simulation and is verified with the experimental data.

Local Time of Additive Levy Process

We studied the problem of existence of jointly continuous local time for an additive process. Here, 'local time' is understood in the sence of occupation density, and by an additive Levy process we mean a process X = {X(t), t ∈ R^d_+ ) } which has the decomposition X= X_1, X_2 ... X_N. We prove that if the product of it slower index and N is greater than d, then a jointly continuous local time can he obtained via Berman's method.

REPRESENTATION OF ADDITIVE FUNCTIONALS AND LOCAL TIMES FOR JUMP MARKOV PROCESSES AND THEIR FUNCTIONAL LIMIT THEOREM

The representation of additive functionals and local times for jump Markov processes are obtained. The results of uniformly functional moderate deviation and their applications to birth-death processes are also presented.

ON COLLISION LOCAL TIME OF TWO INDEPENDENT FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES

In this article, we study the existence of collision local time of two indepen- dent d-dimensional fractional Ornstein-Uhlenbeck processes X＋^H1 and Xt^H2 with different parameters Hi ∈ （0, 1）,i = 1, 2. Under the canonical framework of white noise analysis, we characterize the collision local time as a Hida distribution and obtain its＇ chaos expansion. Key words Collision local time; fractional Ornstein-Uhlenbeck processes; generalized white noise functionals; choas expansion

An Improved PLS (IPLS) Method Utilizing Local Standardization Strategy for Multimode Process Monitoring

Complex industrial process often contains multiple operating modes, and the challenge of multimode process monitoring has recently gained much attention. However, most multivariate statistical process monitoring (MSPM) methods are based on the assumption that the process has only one nominal mode. When the process data contain different distributions, they may not function as well as in single mode processes. To address this issue, an improved partial least squares (IPLS) method was proposed for multimode process monitoring. By utilizing a novel local standardization strategy, the normal data in multiple modes could be centralized after being standardized and the fundamental assumption of partial least squares (PLS) could be valid again in multimode process. In this way, PLS method was extended to be suitable for not only single mode processes but also multimode processes. The efficiency of the proposed method was illustrated by comparing the monitoring results of PLS and IPLS in Tennessee Eastman(TE) process.

Existence and joint continuity of local time of multi-parameter fractional Lévy processes

In this paper, we introduce the definition of a multi-parameter fractional Lévy process and its local time, and show its decomposition. Using the decomposition, we prove existence and joint continuity of its local time.

考虑识别鲁棒性和虹膜颜色影响的瞳孔精准定位方法

准确的瞳孔定位广泛应用于疲劳监控、注意力分析、凝视跟踪等领域.当前,对于瞳孔定位的研究,还存在两个难点问题:(1)瞳孔检测的精准率受到图像分辨率、照明、头部姿态的影响,因而自然条件下的定位精准度较低;(2)虹膜颜色影响定位精准率,但当前对于不同虹膜颜色的瞳孔定位方法的研究还不完善.针对以上问题,提出一种新的适用于包含全脸图像的瞳孔定位方法.所提方法无需训练,可直接用于瞳孔定位任务.方法核心是将表示局部径向对称性的自相似性分数,与根据瞳孔和周围区域之间的梯度信息计算得到的眼部区域梯度辐射分数相结合,取联合分数峰值坐标为瞳孔中心.在BioID数据集和GI4E数据集上评估本方法.在归一化误差e≤0.05的情况下,准确率分别为94.67%(BioID),97.09%(GI4E),在e≤0.10的情况下,准确率分别为99.47%(BioID),99.51%(GI4E).所提方法在由低分辨率深色虹膜的人脸图像组成的自制数据集上准确率为98.66%(e≤0.05)和100%(e≤0.10),表明所提方法对于虹膜颜色有较好的鲁棒性.

地方政府如何提高农村厕所改造政策执行成效?——基于政策执行系统理论的实证分析

地方政府政策执行过程因政策差异而呈现出动态性和复杂性特征。分析典型政策的执行过程,总结政策执行过程的影响因素,对于深刻认识公共政策执行过程的复杂性,改进政策执行过程、增强政策执行效果具有积极意义。农村厕所改造政策是当前中国各地正在推行的典型政策,通过问卷调查获取数据,借鉴政策执行系统模型分析发现:政策执行资源、机构特性、系统环境以及政策执行者的价值偏好等因素,是我国地方政府政策执行过程的主要影响因素,对农村厕所改造政策执行成效的影响更为显著。自主性政策执行、曲解性政策执行以及象征性政策执行现象,导致地方政府政策执行偏差问题突出。据此,提出了矫正地方政府政策执行偏差、增强政策执行效果的政策建议。

基于自适应字典校正的稀疏恢复STAP算法

空时自适应处理(Space-Time Adaptive Processing,STAP)技术在时间维(脉冲维)和空间维(阵元维)联合进行信号处理,以实现动目标检测功能。但是,传统STAP技术的计算复杂度非常高,而且在优化处理信号过程中需要大样本的支撑,在实际的工作场景中,杂波环境复杂易变,不易获取足够多的独立同分布样本,因此杂波抑制效果较差。稀疏恢复空时自适应处理(Sparse Recovery Space-Time Adaptive Processing,SR-STAP)算法可以利用很少的训练样本实现杂波抑制,但大多数SR-STAP算法的计算量巨大,运行速度慢,算法实时性不高。此外,SRSTAP算法需要对连续空时二维平面进行离散化处理,将空时二维平面划分为很多细小的网格,由于真实的杂波在空时平面上是连续分布的,同时考虑雷达接收信号中噪声、系统参数误差等因素的影响,真实杂波点与离散化网格点之间一定存在着偏差,会造成网格失配现象,导致SR-STAP算法杂波抑制性能下降。针对此问题,本文提出了基于自适应字典校正的稀疏恢复STAP算法。该算法首先通过子空间投影法筛选出与杂波最相关的原子;然后围绕选定原子由粗到细进行自适应局部网格划分,按照局部网格迭代选优准则,不断调整选择局域内的最优原子,直到满足迭代终止条件,以匹配真实的杂波点;最后利用选定的最优原子对应的空时导向矢量构造杂波子空间,更新噪声子空间上与杂波子空间正交的投影矩阵得到STAP权值。仿真实验表明,所提算法与传统SR-STAP算法相比,具有更高的稀疏恢复精度,更快的运行速度,改善了STAP性能。

早期直肠癌的诊治现状与全程监测

早期直肠癌是指浸润深度局限于黏膜及黏膜下层的任意大小的直肠上皮性肿瘤,无论有无淋巴结转移。不伴局部淋巴结转移的早期直肠癌,局部切除是主要治疗方式之一。内镜黏膜切除术(EMR)、内镜黏膜下剥离术(ESD)、经肛门内镜显微手术(TEM)和经肛门微创手术(TAMIS)等技术的发展,给早期直肠癌的治疗带来了更多的选择。8%~12%的早期直肠癌病人存在局部淋巴结转移,因此仍需接受全直肠系膜切除术(TME)。现行指南推荐,具有高危病理特征的早期直肠癌需追加补救性根治手术。各种微创、低位保肛手术如经自然腔道取标本手术(NOSES)、经肛门全直肠系膜切除术(TaTME)、经括约肌间切除术(ISR)、适形切除功能保肛手术(CSPO)更好地实现了保肛保功能的目标。早期直肠癌总体预后良好,但其全程监测随诊同样重要。早期直肠癌的早诊早治及全程监测理念的革新,内镜技术及外科技术的发展,必将进一步提高早期直肠癌诊疗的规范化。

唐宋元时期乐温县治考

唐代乐温县并不治于今重庆长寿区仁和场,其迁治长江边也并非在明初。唐初设县时,乐温治于龙溪河下游山间的长寿区邻封镇,永安治于河口处的羊角堡。开元末两县合并后,乐温治所迁至废永安县治附近,于长江北岸、桃花溪西岸的河街一带设治,并沿用至清嘉庆年间。厘清这一空间发展过程有助于理解唐宋政区和治所调整在功能取向上由堂奥转向门户的历史趋势,并为当下地方文脉延续和地名命名、更名提供依据。

动态网络局部社区演化过程溯源方法

随着网络规模的增大,全局社区演化分析越来越困难。考虑在某些场景中人们只关心某一局部社区的形成过程,即局部社区演化过程溯源,提出一种动态网络局部社区演化过程溯源方法,包括社区形成时刻识别、候选前驱社区集合检测和社区演化关系分析这3个环节。通过构造真伪社区分类器识别前驱社区形成时刻,在前驱社区形成时刻的网络快照上进行社区检测,获得包含待溯源社区中任意顶点的候选前驱社区;利用演化事件模型找出真正的前驱社区并识别对应演化事件。在真实网络数据集上的实验结果表明,所提方法优于基于均匀时间片划分的溯源方法,得到的待溯源社区形成路径图能够与真实路径图精准匹配,即社区形成时刻、前驱社区和演化事件均识别准确。

结合局部纹理特征滤波的海天线检测方法

针对视频监测下海天线检测图像易出现的海天对比度低、海上物体、海雾、海浪及云层等干扰条件引起的图像模糊和海天线遮挡问题,提出一种基于偏心邻域的灰度共生矩阵对比度滤波的梯度域下海天线检测方法。方法设计使用上下两方向偏心盒状滤波器获取图像的对比度梯度值图,利用滑动窗对分块图像搜索梯度极大值候选位置,根据设计策略通过构建海天线参数的概率统计模型提取拟合直线作为检测结果。仿真实验表明,本文方法能提升视觉图像下含多景物等干扰的复杂场景海天线检测的准确率,与同类方法相比提升7.69%。

麦冬传统炮制工艺与京帮炮制经验探讨

[目的]探讨麦冬的传统炮制工艺和京帮炮制经验,为麦冬的现代研究提供借鉴。[方法]搜集古代本草文献中麦冬炮制的资料及传统京帮传世资料中麦冬炮制的相关记载,并向老药师咨询,在分析整理的基础上对麦冬的各种炮制方法进行复原。[方法]麦冬去心的机制有去心除烦、去心治经枯、去心养肺阴,以第一种流传最广。去心的方法有沸水润去心、清水润去心、焙软去心,以第一种效果最好。酒浸法的目的是减轻麦冬久服胃寒的副作用。米炒法宜将米薄铺于锅中,铺麦冬于米上,不宜翻动,其色均匀,如与米同翻炒则麦冬易鼓起。蒸法有清蒸与拌乳蒸两种。麦冬不易粉碎,《本草纲目》记载的间断焙干法很好。麦冬熬膏与制丸均利用其含汁液的特点。传统京帮麦冬在闷润与去心的方法上均有明显的地方特色,朱麦冬为撒水微润,朱砂细粉随撒随翻动。这两个炮制品种已消失半个世纪。[结论]麦冬的炮制方法的复原和优化,有望提高麦冬药效,为临床提供更高质量的麦冬药材。揭示传统京帮麦冬炮制的地方特色,为复兴消失的炮制品种提供了可能,对于丰富中药资源,提升中药的临床应用价值具有重要意义。