基于市场需求的旅游高职人才培养模式研究

我国旅游高职人才培养滞后行业需求,＂供需错位＂现象突出.＂2＋1＂模式彻底打破了旅游高职＂由学校办学校＂的传统模式,让旅游企业参与学校育人过程,完全按照行业标准打造合格＂产品＂,实现了人才培养与旅游行业人才需求之间的＂无缝对接＂,实现了企业、学校、教师、学生多方共赢,具有高职特色、适应旅游市场需求的旅游专业人才培养模式.     

水泥工业结构调整的特点及对人才的需求

我国是世界上最大的水泥生产国和消费国.目前水泥工业进入了结构调整阶段.随着我国经济和社会发展水平的提高,人们对资源和环境问题的重视,水泥工业的结构调整出现了新的特点,对人才的需求也出现了新的变化.     

工房色彩设计指导原则初探

工房是满足产品加工制造、生产工艺布局需要的建筑物,一般不可能依赖建筑造型本身突出个性,而绝大部分情况下要采用建筑色彩来表现工房的统一性或个性。城市工房由于城市发展、城市主导产业的转型等因素面临着和城市中其它建筑、外部环境不和谐、甚至对立的矛盾,改造中色彩的有效配置不仅美化了环境,而且可以创造舒适的工作氛围,激发劳动热情,提高产品质量和生产效率,降低劳动强度,减少生产事故,保障工人的健康与安全,实现科学化管理。     

Requirements model driven adaption and evolution of Internetware

Today’s software systems need to support complex business operations and processes.The development of the web-based software systems has been pushing up the limits of traditional software engineering methodologies and technologies as they are required to be used and updated almost real-time,so that users can interact and share the same applications over the internet as needed.These applications have to adapt quickly to the diversified and dynamic changing requirements in the physical,technological,economical and social environments.As a consequence,we are expecting a major paradigm shift in software engineering to reflect such changes in computing environment in order to better address the fundamental needs of organisations in this new era.Existing software technologies,such as model driven development,business process engineering,online(re-)configuration,composition and adaptation of managerial functionalities are being repurposed to reduce the time taken for software development by reusing software codes.The ability to dynamically combine contents from numerous web sites and local resources,and the ability to instantly publish services worldwide have opened up entirely new possibilities for software development.In retrospect to the ten years applied research on Internetware,we have witnessed such a paradigm shift,which brings about many changes to the developmental experience of conventional web applications.Several related technologies,such as cloud computing,service computing,cyber-physical systems and social computing,have converged to address this emerging issue with emphasis on different aspects.In this paper,we first outline the requirements that the Internetware software paradigm should meet to excel at web application adaptation;we then propose a requirement model driven method for adaptive and evolutionary applications;and we report our experiences and case studies of applying it to an enterprise information system.Our goal is to provide high-level guidelines to researchers and practitioners to meet the challenges of building adaptive industrial-strength applications with the spectrum of processes,techniques and facilities provided within the Internetware paradigm.     

Fertigation for minimizing environmental pollution by fertilizers

Intensification of agriculture by irrigation and enhanced use of fertilizers may generate pollution by increased levels of nutrients in underground and surface waters. Most of the irrigation is by open systems having a relatively low efficiency of water application. A higher efficiency may be gained by pressurized irrigation systems. Drip irrigation generates a restricted root system requiring frequent nutrient supply that may be satisfied by applying fertilizers in irrigation water, i.e. by fertigation. Maximization of crop yield and quality and minimization of leaching below the rooting volume may be achieved by managing fertilizers concentrations in measured quantities of irrigation water, according to crop requirements.     

Adapting the potentially mineralizable N concept for the prediction of fertilizer N requirements

Quantification of N dynamics in the ecosystem has taken on major significance in today's society, for economic and environmental reasons. A major fraction of the available N in soils is derived from the mineralization of organic matter. For decades, scientists have attempted to quantify the rate at which soils mineralize N, but the complexity of the N cycle has made this a major task. Further, agronomists have long sought soil test methods that are practical, yet will provide accurate means of predicting the amounts and rates of release of N from soils. Such tests would allow us to make more precise fertilization decisions. This paper discusses the potentially mineralizable N concept, first promoted by Stanford and colleagues [61, 62, 64], and suggests how it may be incorporated into deterministic models, such as CERES and LEACHM, so as to provide more accurate estimates of N mineralization under field conditions. We also suggest how the potentially mineralizable N concept may be coupled to quick, routine laboratory methods of determining available soil N, such as the hot 2M KCl extracted NH₄-N method recently developed by Gianello and Bremner [35], and used together with deterministic N models, such as CERES, for predicting probable fertilizer N requirements.     

基于学习者画像的数据库课程教学改革研究

针对现有数据库基础课程教学无法满足学生多样化需求为背景,本文引入问卷调查获取学生个性化特征,根据学习者的基本信息、行为数据、态度数据以及学习结果对其进行画像,将具有相同学习行为的学生形成群体,按学生个人能力和需求给予个性化教学,并及时对学生学习过程进行干预,设计形成以人为本的差异性和多元化数据库课程教学新模式。     

基于t-SNE降维预处理的网络流量异常检测

网络流量中大多数流量都是正常的,但经常会出现偏离正常范围的异常流量,主要由DDOS攻击、渗透攻击等恶意的网络行为引起,这些异常行为通常会导致网络质量下降,甚至网络直接瘫痪。因此引入网络安全态势的预测,在仅知道正常网络流量的情况下判断网络中的异常。异常检测是一种网络安全态势的预测方法,用来判断网络中是否有异常。现有的异常检测算法由于无法准确提取网络数据包的低维特征导致算法的性能不佳,因此,需要找到网络数据包的准确的低维特征表示,该低维特征表示能够区分网络数据包是正常的还是有攻击的。为此,本文引入基于t-SNE降维的NLOF异常检测算法。该算法采用t-SNE算法自动预处理网络数据包以获得低维的网络数据包特征,之后将得到的低维的网络数据包特征作为NLOF算法的输入进行异常检测。其中,本文的NLOF算法首先采用k-means算法将网络数据包聚类成为K个簇,并将网络数据包数量小于N个的簇标记为异常簇,之后将未被标记为异常簇的网络数据包作为LOF算法的输入进行异常检测。在ISCX2012数据集上的实验结果表明,基于t-SNE降维的LOF算法达到最优性能时,准确率为98.46%,精确度为98.38%,检测率为98.54%,FAR为0.66%。该算法比基于现有最新算法的准确率、检测率和F1分别高3.18个百分点、0.02个百分点和0.01个百分点。基于t-SNE降维的NLOF算法达到最优性能时,准确率为98.53%,精确度为98.86%,检测率为98.86%,FAR为0.32%。该算法比基于现有最新算法的准确率、检测率和F1分别高3.25个百分点、0.34个百分点和0.41个百分点。这是异常检测中首次采用t-SNE算法自动提取低维的网络数据包特征。此外,LOF算法仅能捕获异常点,而本文的NLOF算法能够同时捕获异常点和异常簇。     

基于区块链技术的网络安全漏洞检测系统设计

为解决传统网络安全漏洞扫描受限,导致网络应用环境的安全性承载能力较差的问题,设计基于区块链技术的网络安全漏洞检测系统;利用网络爬虫模块抓取任务管理模块所需的待检测信息参量,按照漏洞数据所属的具体类别,将其分别反馈至XSS检测模块、SQL检测模块与CSRF检测模块之中;在此基础上,定义区块信息的实际交易格式,联合各项智能化合约,实现对系统功能需求的定向化分析,并完成相关用例图的构建;通过上述软、硬件设备基础,完成基于区块链技术的网络安全漏洞检测系统设计;对比实验结果显示,与C/S型网络漏洞检测系统相比,基于区块链技术检测系统的安全性等级划分条件更加细致,扫描web漏洞覆盖范围也更为广泛,有助于网络应用环境安全性承载能力的稳定提升.     

面向动用计划的车辆装备备件预测研究

针对动用计划下的车辆装备备件的消耗特点,研究了车辆装备维修备件消耗量和库存控制两个预测优化问题。考虑动用计划期内车辆装备的预防性维修和修复性维修,实现定时定程维修和自然随机故障维修下装备维修备件的消耗量的预测。在此基础上,根据备件库存检查方式的特点,建立基于定期检查策略的联合补货库存控制模型,根据模型的结构特点确定决策变量界限,并利用多类种群位置更新方式改进了果蝇优化算法。仿真结果表明,改进的果蝇优化算法具有良好的求解效率,本文所提出的优化方法可为车辆维修保障资源优化提供决策依据。