旅游地主题形象策划——以浙江会稽山旅游度假区为例

旅游地形象定位和策划是增强旅游地吸引力和竞争力的重要手段之一.本文以主题形象策划理论为指导,结合会稽山旅游度假区主题形象和市场需求,提出了"区位-主题-活动-形象"相组合的规划理念.探讨了旅游主题形象策划对旅游区发展的重要性.     

城市监控报警联网系统的锁机制应用研究

城市监控报警联网系统是以实时、历史视频资源管理,各类报警联动业务处理,各类外部系统业务集成为主要功能的业务系统.业务功能相对复杂,视频点播等核心业务功能实时性、并发性要求较高.本文论述了锁机制在解决城市监控报警联网系统核心业务并发中的具体应用,以及在系统设计开发过程中避免死锁的一些方法措施.     

三峡库区巴东段地质灾害因子关联规则挖掘

选择地质灾害较为发育的巴东县为研究区,并以该区灾害点为数据样本,利用GIS将灾害点与地层岩性、高程、坡度、坡向、水系组合、遥感影像土地利用分类结果等6个影响因子进行叠加分析,选取灾害点的灾害类型、灾害规模、灾害体的物质类型、高程差、水系岸别等5个属性与叠加分析结果利用Apriori算法进行关联规则挖掘,最后挖掘出灾害规模与水系组合间关系等单因素间关联以及不同灾害属性与各因子间的关系等多因素间关联。通过与前人的相关研究成果对比分析,证明得出的规则具有合理性并符合实际情况,可为地质灾害分析决策提供先验知识。     

一种弹性分组环技术的实现方案

弹性分组环技术是一种融合了SDH和以太网技术优势的新型媒体访问控制(MAC层)技术。弹性分组环兼具以太网的经济性、易扩展性和SDH的快速保护倒换、传输可靠特性,同时拥有空间复用、带宽动态分配、支持业务分级、公平算法控制等特性,在城域网方面拥有十分广泛的应用前景。介绍了弹性分组环技术的出现背景、基本技术原理和关键技术,针对城域网范围的工业控制网络,给出一种简单经济灵活的弹性分组环技术实现方案,并对一些关键模块的实现进行了详细阐述。     

Binary particle swarm optimization (BPSO) based state assignment for area minimization of sequential circuits

State assignment (SA) for finite state machines (FSMs) is one of the main optimization problems in the synthesis of sequential circuits. It determines the complexity of its combinational circuit and thus area, delay, testability and power dissipation of its implementation. Particle swarm optimization (PSO) is a non-deterministic heuristic that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions called particles, and moving them around in the search-space according to a simple mathematical formulae. In this paper, we propose an improved binary particle swarm optimization (BPSO) algorithm and demonstrate its effectiveness in solving the state assignment problem in sequential circuit synthesis targeting area optimization. It will be an evident that the proposed BPSO algorithm overcomes the drawbacks of the original BPSO algorithm. Experimental results demonstrate the effectiveness of the proposed BPSO algorithm in comparison to other BPSO variants reported in the literature and in comparison to Genetic Algorithm (GA), Simulated Evolution (SimE) and deterministic algorithms like Jedi and Nova.     

Real-time retrieval of Leaf Area Index from MODIS time series data

Real-time/near real-time inversion of land surface biogeophysical variables from satellite observations is required to monitor rapid land surface changes, and provide the necessary input for numerical weather forecasting models and decision support systems. This paper develops a new inversion method for the real-time estimation of the Leaf Area Index (LAI) of land surfaces from MODIS time series reflectance data (MOD09A1). It consists of a series of procedures, including time series data smoothing, data quality control and real-time estimation of LAI. After the historical LAI time series is smoothed by a multi-step Savitzky-Golay filter to determine the upper LAI envelope, a Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model is used to derive the LAI climatology. Based on the climatology from the SARIMA model to evolve LAI in time, a dynamic model is then constructed and used to provide the short-range forecast of LAI. Predictions from this model are used with Ensemble Kalman Filter (EnKF) techniques to recursively update biophysical variables as new observations arrive. The validation results produced using MODIS surface reflectance data and field-measured LAI data at eight BELMANIP sites show that the real-time inversion method is able to efficiently produce a relatively smooth LAI product. In addition, the accuracy is significantly improved over the MODIS LAI product.     

KYLAND工业交换机在煤矿综合自动化的典型应用

煤炭工业综合自动化系统,推进煤矿的安全生产、调度、运销一体化建设,提高煤矿安全、高效、可靠性生产。本文结合煤矿综合自动化系统需求及现状,阐述了KYLAND工业以太网交换机在白阳岭煤矿自动化系统中的应用,及煤矿综合自动化系统的网络解决方案。     

基于WLAHE的尘肺胸片图像增强方法

为提高X线胸片中尘肺病灶的易识别性,提出一种基于加权局部直方图均衡化(WLAHE)的尘肺胸片图像增强方法。采用WLAHE算法、局部直方图均衡化算法,以及直方图均衡化算法对0+期尘肺X线图像进行对比度增强处理,并对采用不同参数的处理效果进行比较。结果表明,WLAHE可在不引入过大噪声及不引起细节失真的条件下,采用更小的窗口,使0+期尘肺X线胸片上的病灶小阴影更突出。     

无线局域网视频流组播优化机制

针对网络电视业务的802.11无线局域网数据传输问题,提出一种视频流组播优化机制,基于视频帧区分的方法,对关键帧I帧采用可靠组播机制传输,对非关键的B帧和P帧采用组播机制传输。仿真结果表明,该机制可以在丢帧率和数据延迟之间取得较好的折中,尤其是在无线网络带宽不足的情况下,能够有效提高数据传输后视频的观看质量。     

多类不平衡数据上的分类器性能比较研究

不同的基分类器对不同分布类型的多类别不平衡数据的适应性存在较大差异。为此,针对分类器的选用问题,在分析比较准确率(ACC)及曲线下面积(AUC)的评价标准基础上,选择基于AUC的分类器评价方法,将支持向量机、决策树和贝叶斯分类器应用于标准数据集中,并采用AUC来评价结果,得出相关结论：在多类不平衡数据上,贝叶斯是最好的基分类器,且SVM分类器存在一定改进空间。