Pattern design and optimization of yarn-dyed plaid fabric using isolation niche genetic algorithm and rough set theory

Under the circumstance of perceptual consumption, it is still challenging to grasp consumer's emotions and demands due to the large search space, diversified preferences, and easy fatigue of consumers. To reduce user fatigue and enlarge search space, a novel method was presented to design and optimize the pattern of yarn-dyed plaid fabric using the isolation niche genetic algorithm and rough set theory. Each pattern was encoded as a chromosome based on the real number code. The population was initialized and evolved using INGA to maintain the diversity. The rough set theory was adopted as the fitness function of isolation niche genetic algorithm to extract the consumer's demands. After multiple evolutions, a large set of practical patterns of the yarn-dyed plaid fabric are obtained. Experiments were carried out by 24 testers of different ages and genders. The results prove that the proposed method based on the isolation niche genetic algorithm and rough set theory is feasible and effective, supplying references to the designer.     

周期性隔震基础的优化设计与试验验证

周期性隔震基础是利用周期性结构的衰减域特性,将地震动与上部结构自振频率接近的频率范围内的能量衰减,从而控制上部结构响应的新型隔震装置。周期性基础的隔震性能受到多方面因素的影响,包括局域共振子的调谐频率比、质量比、阻尼比、基体的刚度、上部结构与基础的相互作用以及地震动的频谱特性等。目前尚未有研究综合考虑上述因素的影响并提出周期性基础的设计方法。提出以一组地震动作用下上部结构峰值响应衰减率的平均值为目标函数,对周期性基础进行优化的设计方法。计算结果表明,按照该优化方法得到的周期性基础对上部结构在选取的44条地震动作用下,峰值响应的平均衰减率达30%。参数敏感性分析表明,优化设计得到的周期性基础对于自身参数的变化具有良好的鲁棒性。最后利用缩尺振动台试验验证了优化设计得到的周期性基础的隔震性能,证明了优化方法的有效性和优化结果的正确性。     

市售婴幼儿米粉中克罗诺杆菌的分子分型和耐药分析

为了解婴幼儿配方米粉中克罗诺杆菌的污染情况、分子分型特征及耐药性情况，采集广西区内市售6个厂家和品牌不同配方的婴幼儿米粉进行克罗诺杆菌分离及fusA基因的扩增、测序和MLST数据库比对分析。并应用脉冲场凝胶电泳（PFGE）对菌株进行分型鉴定及微量肉汤稀释法测定分离株对8种常见抗生素的最小抑菌浓度（Minimal Inhibitory Concentrations，MICs）。采集的268份婴幼儿米粉共分离到32株克罗诺杆菌，检出率为11.94%，菌株鉴定结果显示32株分离株包括22株C.sakazakii、6株C.malonaticus、3株C.dublinensis和1株C.muytjensii。不同添加成分的婴幼儿配方米粉污染情况差异明显，其中添加淮莲和果蔬的米粉污染率最高为17.78%和15.38%。PFGE分析显示32个菌株共分成32种不同的分子型，相似度为61.20%~92.30%，所有分离株对环丙沙星、庆大霉素和头孢噻肟都敏感，部分菌株（6.25%~43.75%）对氯霉素、四环素、甲氧苄啶/磺胺甲基异恶唑、头孢西丁和萘啶酸表现为中等敏感，有2个菌株对氯霉素表现为抗性。结果表明市售婴幼儿配方米粉中存在一定的克罗诺杆菌污染，尤其是添加营养成分的米粉。婴幼儿配方米粉中克罗诺杆菌污染来源广泛，部分菌株对一些抗菌药表现为中等敏感甚至是抗性，提示克罗诺杆菌对抗菌药的敏感性呈现减弱的趋势。     

TLCD基础隔震框架结构的减振控制研究

为了避免和减轻由过大隔震层位移引起的损害,对基础隔震框架结构装设调频液柱阻尼器(tuned liquid column damper,简称TLCD)后混合系统的减振效果进行研究。建立了单层和多层混合控制系统在地震作用下的运动方程,采用TLCD-结构体系转化为调频质量阻尼器(tuned mass damper,简称TMD)-结构体系的等效方法,利用TMD参数优化公式,得到单个TLCD初始设计参数,并采用状态空间方程得到多个TLCD最优设计参数。通过对某8层基础隔震结构进行模拟,证明了该理论设计方法的合理性。该混合结构不仅可以减小隔震层位移和加速度,而且对上部结构位移和加速度反应都能更有效的控制。     

榛仁免疫活性肽分离纯化及结构鉴定

以榛仁分离蛋白水解肽经超滤获得的分子质量小于3 kDa的组分为研究对象，采用凝胶色谱及反相高效 液相色谱对其进行分离纯化，并对所得组分进行结构鉴定和验证。结果显示：经Sephadex G-15分离得到的组分B1 能极显著降低小鼠RAW264.7巨噬细胞肿瘤坏死因子和白介素-6水平（P＜0.01）；经质谱解析筛选出的肽段Pro-Glu- Asp-Glu-Phe-Arg（PEDEFR）对细胞无毒性作用，高浓度PEDEFR（＞50 μmol/L）能提高小鼠RAW264.7巨噬细胞吞噬能 力；当浓度达到100.0 μmol/L时，促进脾淋巴细胞增殖率达到44.21%，在伴刀豆蛋白A共同作用下，增殖率达到53.22%。 PEDEFR对小鼠RAW264.7巨噬细胞具有较好的免疫调节能力，本研究为榛仁免疫活性肽的开发提供了理论依据。     

244.5 mm套管三胶筒隔离封隔器研制

为了解决老式隔离封隔器容易出现刮损失效和密封性能差的问题,采用具有不同硬度组合的三胶筒式密封结构,研制了一种适用于海上油田防砂作业的新型隔离封隔器。该隔离封隔器由密封机构、锁紧机构、坐封机构和心轴组成。通过优化胶筒的参数,以及在胶筒两端安装铜环,使胶筒的压缩力更加均匀。室内试验时,正反向验封压力均达到41.4 MPa,坐封后自锁状态稳定。现场应用表明,该封隔器设计合理、性能可靠。     

Fault tolerant system based on non-integers order observers: Application in a heat exchanger

This work presents a fault-tolerant (FT) scheme based on the application of non-integer order observers also called fractional observers, the case of study is a double pipe countercurrent heat exchanger (HE). The aim of the FT is to detect sensors faults as soon as possible, and to provide a healthy signal in order to replace the faulty sensor signal by the fractional observer estimation. To develop the FT scheme a bank of high gain fractional order observers (HGFOO) is proposed. The Riemann-Liouville (RL) fractional derivative definition is used to solve each fractional observer. Experimental measures from a HE were used to test the performance of the fractional observers and the control scheme. The results show the robustness of the proposed observers.     

GreyFan:一种Wi-Fi隐蔽信道攻击框架

针对现实网络中诸如侧信道攻击、HID 攻击等传统的物理攻击，物理隔离被认为是一种较为彻底的抵御网络攻击的安全防护手段。2018 年，业界首次提出了一种物理隔离环境下的 Wi-Fi 隐蔽信道方法——Ghost Tunnel，即在Wi-Fi尚未连接的状态下，无线AP可成功将数据传给发起连接请求的计算机。提出了一种基于Ghost Tunnel方法的攻击框架—— GreyFan，利用该攻击框架攻击者可以对未连接Wi-Fi的用户实施无感知攻击，如文件隐蔽传输、任意代码执行等，并分析了相应的防御技术。     

Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system

Fault isolation is known to be a challenging problem in machinery troubleshooting. It is not only because the isolation of multiple faults contains considerable number of uncertainties due to the strong correlation and coupling between different faults, but often massive prior knowledge is needed as well. This paper presents a Bayesian network-based approach for fault isolation in the presence of the uncertainties. Various faults and symptoms are parameterized using state variables, or the so-called nodes in Bayesian networks (BNs). Probabilistically causality between a fault and a symptom and its quantization are described respectively by a directed edge and conditional probability. To reduce the qualitative and quantitative knowledge needed, particular considerations are given to the simplification of Bayesian networks structures and conditional probability expressions using rough sets and noisy-OR/MAX model, respectively. By adopting the simplified approach, symptoms under multiple-fault are decoupled into the ones under every single fault, while the quantity of the conditional probabilities is simplified into the linear form of the faults quantity. Prior knowledge needed in Bayesian network-based diagnostic model is reduced significantly, which decreases the complexity in establishing and applying this diagnosis model. The computational efficiency is improved accordingly in the simplified BN model, after eliminating the redundant symptoms. The fault isolation methodology is illustrated through an example of diesel engine fuel injection system to verify the developed model.     

Sensors incipient fault detection and isolation of nuclear power plant using extended Kalman filter and Kullback–Leibler divergence

Sensor real-time monitoring is an indispensable to achieve reliable plant operation along with stricter safety and environmental measures. This paper presents a statistical algorithm for sensors time-varying incipient fault detection and isolation. The proposed approach formulates the fault detection index and fault signature using the extended Kalman filter. Algorithm relaxes assumption on a monitored system stability and a priori knowledge of the fault profile. Further, fault decision statistics has been devised using Kullback–Leibler Divergence (KLD) and mixed with an Exponential Weighted Moving Average (EWMA) control chart. Pressurized water reactor nuclear power plant temperature and neutron flux sensors incipient fault detection and isolation have been demonstrated to illustrate the effectiveness of proposed methodology.