IS风险评估方法分类研究

尝试分别从信息技术演化过程和驱动因素两个方面对信息系统风险评估方法(ISRAM)进行分类.首先选择信息技术和ISRAM发展的时间主线划分ISRAM,然后提取ISRAM设计实现过程中考虑的驱动因素划分ISRAM,并分别给出两种分类方法的半形式化描述;最后,分析目前ISRAM面临的挑战和未来发展趋势.     

基于认知的人工动物行为记忆研究

提出并分析比较两种记忆形成算法.二次方差法对已获取的食物点作方差计算,快速剔除距其他点较远的噪声点,获得食物分布的期望位置.改进的均值聚类算法针对二次方差法的不足,借鉴数据挖掘理论,对噪声点进行更准确的剔除.根据不同情况选取适合算法,达到聚焦器在人工动物取食记忆实现中的有效性.     

一种新型的适应于MANET的基于移动代理的对等入侵检测系统

移动自组织网络(Mobile Ad hoc Networks,MANET)是一种开放性的媒介系统,从而很容易受到黑客的入侵.提出了一种有效的适应于MANET的入侵检测系统,叫做MAPIDS(Mobile Agent-based Peer-to-peer Intrusion Detection System).该系统一旦发现网络中的可疑行为,就会引发一次集体投票过程,以确定该可疑行为是否是入侵行为,并根据投票结果作出相应的进一步处理.相比于其他同样基于集体决策机制的入侵检测系统,MAPIDS节省了更多的网络带宽和电池能耗,并且该系统不存在稀疏节点问题.     

基于Petri网的工作流时间动态预测及验证

目前,工作流管理系统不能有效的处理时间管理问题,为了动态预测活动发生的时间间隔,验证时间的一致性,预知潜在的时间冲突,首先建立基于时间Petri网的扩展工作流网(XTWF-net),然后根据工作流管理联盟规定的几种基本结构推导出时间预测规则,并采用面向对象技术实现了预测算法,最后给出了动态验证的方法和决策策略.     

基于模式的ATS领域框架研究

鉴于自动测试领域软件开发的复杂性,提出了基于层次的体系结构模式和模版、组合、策略、桥接、观察者等设计模式的ATS领域通用框架的解决方案;旨在促使在具体ATS软件的开发中注重使用已有的成功解决方法,努力发现、归纳并应用设计模式,实现软件设计的重用,从而提高ATS软件的可复用性,避免大量的重复性开发工作,提高具体测试软件的开发效率.     

基于神经元自适应理论的谐波检测的DSP实现

随着各种电力电子装置和非线性负荷的大量应用,电力系统的谐波污染日益严重;基于神经元自适应理论的谐波检测方法,利用TMS320LF2407进行谐波检测系统开发;因系统的复杂算法全采用软件来实现从而硬件结构简单,克服了模拟系统的不足;该系统测试结果表明谐波和无功电流分离效果较好,达到了国家B级谐波检测标准;目前该系统已于郑州中孚铝业投入使用,效果理想.     

交流瞬时值取样检测的设计与实现

传统电量测量的结果多是反映被测交流电量的有效值或平均值,对于瞬时值的反映,只能借用相应的示波装置才能显现但对于每个时刻的真实值检测还存在一定的问题和误差,为此提出一种基于一定电路和计算原理的方法,实现对交流电量瞬时值的取样,并达到相应的实时监测目的,易于实现高精度、快速测量及多项参量同时测量等功能.     

Discovery of Five New Ethylene-Forming Enzymes for Clean Production of Ethylene in E. coli

Ethylene is an essential platform chemical with a conjugated double bond, which can produce many secondary chemical products through copolymerisation. At present, ethylene production is mainly from petroleum fractionation and cracking, which are unsustainable in the long term, and harmful to our environment. Therefore, a hot research field is seeking a cleaner method for ethylene production. Based on the model ethylene-forming enzyme (Efe) {"type":"entrez-protein","attrs":{"text":"AAD16440.1","term_id":"4323597","term_text":"AAD16440.1"}}AAD16440.1 (6vp4.1.A) from Pseudomonas syringae pv. phaseolicol, we evaluated five putative Efe protein sequences using the data derived from phylogenetic analyses and the conservation of their catalytic structures. Then, pBAD expression frameworks were constructed, and relevant enzymes were expressed in E. coli BL21. Finally, enzymatic activity in vitro and in vivo was detected to demonstrate their catalytic activity. Our results show that the activity in vitro measured by the conversion of α-ketoglutarate was from 0.21–0.72 μmol ethylene/mg/min, which varied across the temperatures. In cells, the activity of the new Efes was 12.28–147.43 μmol/gDCW/h (DCW, dry cellular weight). Both results prove that all the five putative Efes could produce ethylene.     

Exploring the Effects of the Interaction of Carbon and MoS2 Catalyst on CO2 Hydrogenation to Methanol

Hydrogenation of CO₂ to form methanol utilizing green hydrogen is a promising route to realizing carbon neutrality. However, the development of catalyst with high activity and selectivity to methanol from the CO₂ hydrogenation is still a challenge due to the chemical inertness of CO₂ and its characteristics of multi-path conversion. Herein, a series of highly active carbon-confining molybdenum sulfide (MoS₂@C) catalysts were prepared by the in-situ pyrolysis method. In comparison with the bulk MoS₂ and MoS₂/C, the stronger interaction between MoS₂ and the carbon layer was clearly generated. Under the optimized reaction conditions, MoS₂@C showed better catalytic performance and long-term stability. The MoS₂@C catalyst could sustain around 32.4% conversion of CO₂ with 94.8% selectivity of MeOH for at least 150 h.     

Φ9.5m级2219铝合金环件整体形-性协同极限制造技术与应用

为解决Φ9.5 m级2219铝合金整体过渡环研制难题,提出了铸锭制备、环坯制备、环轧成形各个环节精准控制策略,形成了大规格环件整体形-性协同极限制造技术路线,并成功试制出Φ9.5 m级超大规格2219铝合金环件,获得了均匀细化的微观组织结构和优异的综合性能.锻环微观组织均匀,未出现明显各向异性,无粗大残余结晶相聚集,晶...