A labchip for highly selective and sensitive electrochemiluminescence detection of Hg2+ ions in aqueous solution employing integrated amorphous thin film diodes

An electrochemiluminescence (ECL) based detection of Hg²⁺ ions using a novel monolithically integrated labchip technology has been developed. The combination of a chemical sensor molecule, the azacrown ether appended trisphenanthroline ruthenium(II) complex 1, and an amorphous silicon based pin-diode detects an exceptionally low concentration of 66 nM according to a device current of 1.85 pA, respectively. To support a high sensitivity, fluid volumes of 1.2 or 1.8 nL in the designed measuring cells are investigated by an amorphous silicon based pin-diode at a constant flow rate of 1 μL min⁻¹. The working electrode area can be specified for both cells to 0.06 or 0.09 mm² according to a photosensitive detector area of 400 or 500 μm in diameter. Corresponding to the distance between the monolithic integrated polymer based microcapillary and the sensing pin-diode layers of ∼150 μm the detector solid angle was calculated to 73.3°. The fabrication methodology and the experimental details are presented. Furthermore, performance metrics including diode characteristics, detection limit, transient current behavior, dynamic range, and linearity are reported. Additionally, the chemical structure, the ECL response towards different metal ions, and the relationship between ECL intensity of 1 and the concentration of Hg²⁺ ions are shown.     

Network security threat warning method based on qualitative differential game

Most current network security research based on game theory adopts the static game or multi-stage dynamic game model,which does not accord with the real-time change and continuity of the actual network attack-defense process.To make security threats warning more consistent with the attack-defense process,the threat propagation process was analyzed referring to the epidemic model.Then the network attack-defense game model was constructed based on the qualitative differential game theory,by which the evolution of the network security state could be predicted.Based on the model,the qualitative differential game solution method was designed to construct the attack-defense barrier and divide the capture area.Furthermore,the threat severity in different security states were evaluated by introducing multidimensional Euclidean distance.By designing the warning algorithm,the dynamic warning of the network security threat was realized,which had better accuracy and timeliness.Finally,simulation results verify the effectiveness of the proposed algorithm and model.     

基于平移随机变换的对抗样本生成方法

基于深度神经网络的图像分类模型能够以达到甚至高于人眼的识别度识别图像,但是因模型自身结构的脆弱性,导致其容易受对抗样本的攻击。现有的对抗样本生成方法具有较高的白盒攻击率,而在黑盒条件下对抗样本的攻击成功率较低。将数据增强技术引入到对抗样本生成过程中,提出基于平移随机变换的对抗样本生成方法。通过构建概率模型对原始图像进行随机平移变换,并将变换后的图像用于生成对抗样本,有效缓解对抗样本生成过程中的过拟合现象。在此基础上,采用集成模型攻击的方式生成可迁移性更强的对抗样本,从而提高黑盒攻击成功率。在ImageNet数据集上进行单模型和集成模型攻击的实验结果表明,该方法的黑盒攻击成功率高达80.1%,与迭代快速梯度符号方法和动量迭代快速梯度符号方法相比,该方法的白盒攻击成功率虽然略有降低,但仍保持在97.8%以上。     

Network security threat assessment based on the signaling game

Nowadays, researches on network security defense based on game theory mostly use completed information or static game theory to establish the attack-defense model. In order to perform security threat assessment in a closer way to the practical situation in a network, this paper proposes a network attack-defense game model based on the signaling game, which is modeled in a dynamic and uncompleted way. After putting forward the solving process of the perfect Bayesian equilibrium of the signaling game, this paper analyzes all kinds of equilibriums existing in the game. Taking the posterior belief as the defender's prediction of the attacker's type, this paper puts forward the assessment algorithm for the network security threat based on the model above, predicts the security threat the defender is facing, and provides the security threat grade for the evaluator. Finally, the feasibility and validity of the model and the method proposed by this paper are testified through the analysis of a network example.     

Optimal strategy selection method for moving target defense based on signaling game

To solve the problem of the optimal strategy selection for moving target defense,the defense strategy was defined formally,the defense principle from the perspective of attack surface shifting and exploration surface enlarging was taken into account.Then,network attack-defense behaviors were analyzed from the sight of dynamic confrontation and bounded information.According to the analysis of attack-defense game types and confrontation process,the moving target defense model based on signaling game was constructed.Meanwhile,the method to quantify strategies was improved and the solution of perfect Bayesian equilibrium was proposed.Furthermore,the optimal defense strategy selection algorithm was designed by the equilibrium analysis.Finally,the simulation demonstrates the effectiveness and feasibility of the proposed optimal strategy and selection method.     

Storm流式计算框架反压机制研究

Storm集群提供了强大的实时处理能力,Storm上下游处理节点由于任务差异而导致数据流元组Tuple处理超时从而影响系统吞吐量及其性能。针对该问题,提出了一种能够灵活调节Topology中各环节数据负载的反压机制,该机制采用可变队列,并根据当前Tuple负载动态调整队列大小,以适应数据负载的动态变化,并提升系统吞吐量。实验结果表明,该反压机制能够避免反压过程中出现数据流的震荡,同时提高系统性能和稳定性。     

聚醋酸乙烯乳液互穿网络聚合物的研制

本文提出添加少量含活性基因的酸性物质，可制得具有优异冻融稳定性，保存稳定的聚醋酸乙烯乳液互穿网络聚合物．介绍了制备方法、性能．     

Effect of TiC Addition on the High-Temperature Hardness and the Carbide Stability in Al0.2CoCrFeNi1.5Ti High-Entropy Alloy

Russian Journal of Non-Ferrous Metals - High-entropy alloys (HEAs) are an emerging and rapidly developing family of alloys with appealing properties, such as excellent mechanical properties at room...     

静态贝叶斯博弈主动防御策略选取方法

Nowadays, the optimal defense strategies selection based on the incomplete information game model has many disadvantages, such as ignoring the type of the defender, using the simple cost quantitative method, and choosing defense strategies improperly. To solve the problem, this paper proposes an active defense strategy selection based on the static Bayesian game theory, and constructs the static Bayesian game model. The model considers the types of the attacker and the defender, and improves the classical strategies taxonomy and cost quantitative method by considering the strike back act of the defender and the success attack rate. Then, this paper calculates and comprehensively analyzes the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of the attacker as the defender's prediction of the attacker's action, this paper calculates the defense effectiveness of defense strategies and performs a defense strategies selection algorithm. Finally, an example is provided to analyze and demonstrate the effectiveness of the model and algorithm.     

低频次叠加的同生溶蚀作用对滩相储层发育的控制——以川中栖霞组为例

川中地区栖霞组油气勘探已获得突破,但栖霞组优质储层类型及其形成机理尚不明确.文中综合利用川中高石梯-磨溪地区的岩心、录井、测井等资料及各类白云岩样品的地球化学测试数据,结合构造背景和沉积演化特征,对该地区栖霞组储层特征及其形成机理进行了研究.结果表明:该地区栖霞组储层发育晶粒白云岩、颗粒白云岩、斑状白云岩、砂屑灰岩、微...