Finite time agreement protocol design of multi‐agent systems with communication delays

In this paper, the finite‐time agreement problem of continuous‐time multi‐agent systems with communication delays is considered. First, the multi‐agent system researched in the paper is described. Second, some notations and lemmas used in the paper are given. Then, agreement protocols for continuous (but non‐smooth) multi‐agent systems are proposed, which ensure that the states of agents reach agreement in finite time. The stability analysis and simulations are presented to show the effectiveness of the method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

The asymptotic optimization of pre-edited ANN classifier

The generalization problem of an artificial neural network (ANN) classifier with unlimited size of training sample, namely asymptotic optimization in probability, is discussed in this paper. As an improved ANN network model, the pre-edited ANN classifier shows better practical performance than the standard one. However, it has not been widely applied due to the absence of the related theoretical support. To further promote its application in practice, the asymptotic optimization of the pre-edited ANN classifier is studied in this paper. To help study ANN asymptotic optimization in probability, we gives a review of the previous research works on asymptotic optimization in probability of non-parametric classifier, and grouped the main methods into four classes: two-step method, one-step method, generalization method and hypothesis method. In this paper, we adopt generalization/hypothesis mixed method to prove that pre-edited ANN is asymptotically optimal in probability. Furthermore, a simulation is presented to provide an experimental support for our theoretical work.     

Nonlinear control techniques for an atomic force microscope system

Two nonlinear control techniques are proposed for an atomic force microscope system. Initially, a learning-based control algorithm is developed for the microcantilever-sample system that achieves asymptotic cantilever tip tracking for periodic trajectories. Specifically, the control approach utilizes a learning-based feedforward term to compensate for periodic dynamics and high-gain terms to account for non-periodic dynamics. An adaptive control algorithm is then developed to achieve asymptotic cantilever tip tracking for bounded tip trajectories despite uncertainty throughout the system parameters. Simulation results are provided to illttstrate the efficacy and performance of the control strategies.     

VANET中位置路由协议的安全和隐私保护

在车载Ad Hoc网络中,对地理位置路由的研究往往忽略安全和隐私保护问题,造成用户隐私受侵害,路由安全受威胁。该文通过笔名机制隐藏节点真实身份,保护节点位置隐私,采用群签名对消息进行认证,防止恶意节点破坏路由。分析表明,该方案在保护节点位置隐私的同时能有效抵御篡改、伪造和重放等多种攻击。     

基于优化蚁群算法的机器人路径规划

研究机器人导航中的路径规划问题,运用栅格法和图论思想建立环境模型,在该模型中通过蚁群算法进行路径寻优,提出用遗传算法的思想改进已有蚁群算法,即GAA算法。仿真实验结果表明,该算法能有效地提高机器人的路径搜索速度及路径优化、路径平滑等方面的指标。     

NoMan-Grid计算原型系统

设计并实现一个无集中资源管理的网格计算原型系统——NoMan-Grid,描述该原型系统的体系结构、信息管理、任务调度机制,对原型系统进行验证与评价。在该原型系统中,不存在任何集中管理节点,所有节点功能相同,有效避免了中央控制节点存在的情况下网格规模受限的情况。对系统性能进行初步测试和分析的结果表明,该原型系统能充分利用Internet上空闲的计算资源,网络通信流量比较少且分布均衡,适合解决大规模分布式应用问题。     

Rationale and Clinical Research Progress on PD-1/PD-L1-Based Immunotherapy for Metastatic Triple-Negative Breast Cancer

Metastatic triple-negative breast cancer (mTNBC), a highly aggressive and malignant tumor, currently lacks an effective treatment. There has been some progress in the treatment of mTNBC with programmed death receptor-1/programmed death ligand-1 (PD-1/PD-L1) immunotherapy in recent years. The combination of PD-1/PD-L1 inhibitors with other therapies is a noteworthy treatment strategy. Immunotherapy in combination with chemotherapy or small-molecule inhibitors still faces many challenges. Additionally, there are some new immunotherapy targets in development. We aimed to further evaluate the effectiveness and usefulness of immunotherapy for treating mTNBC and to propose new immunotherapy strategies. This review explains the rationale and results of existing clinical trials evaluating PD-1/PD-L1 inhibitors alone or in combination for the treatment of mTNBC. For patients with aggressive tumors and poor health, PD-1/PD-L1 inhibitors, either alone or in combination with other modalities, have proven to be effective. However, more research is needed to explore more effective immunotherapy regimens that will lead to new breakthroughs in the treatment of mTNBC.     

Identification and Functional Analysis of Key Autophosphorylation Residues of Arabidopsis Senescence Associated Receptor-like Kinase

Reversible protein phosphorylation mediated by protein kinases and phosphatases plays important roles in the regulation of leaf senescence. We previously reported that the senescence-associated leucine-rich repeat receptor-like kinase AtSARK autophosphorylates on both serine/threonine and tyrosine residues and functions as a positive regulator of Arabidopsis leaf senescence; the senescence-suppressed protein phosphatase SSPP interacts with and dephosphorylates the cytoplasmic domain of AtSARK, thereby negatively regulating leaf senescence. Here, 27 autophosphorylation residues of AtSARK were revealed by mass spectrometry analysis, and six of them, including two Ser, two Thr, and two Tyr residues, were further found to be important for the biological functions of AtSARK. All site-directed mutations of these six residues that resulted in decreased autophosphorylation level of AtSARK could significantly inhibit AtSARK-induced leaf senescence. In addition, mutations mimicking the dephosphorylation form of Ser384 (S384A) or the phosphorylation form of Tyr413 (Y413E) substantially reduced the interaction between AtSARK and SSPP. All results suggest that autophosphorylation of AtSARK is essential for its functions in promoting leaf senescence. The possible roles of S384 and Y413 residues in fine-tuning the interaction between AtSARK and SSPP are discussed herein.     

超级分发DRM中的关键问题研究

在数字阅读中,运营特征以服务提供商为核心。基于此,研究该特征在超级分发过程中,支持增值服务的多设备兼容性问题,提出一种利用在封装的方式,即使用增值证书提供增值权限描述的方法。该方法应用流式分割重排版技术,处理在线服务的增值权限支撑问题,运用虚拟文件技术完成本地管理的增值权限支撑问题。实验结果证明了该方法的可行性和有效性。     

一种验证SPR传感器金膜表面固定蛋白质分子有效性的简易途径

利用表面等离子共振传感器进行免疫检测的实验中,需要在化学性质稳定的金膜表面固定蛋白质分子探针。如何验证一种方法是否能够成功固定蛋白质分子具有非常重要的现实意义。提出的验证方法采用酶反应作为标志,如果某种方法确实能有效固定蛋白质分子,那么它也能固定酶。将固定好酶的金膜浸入相应的底物溶液中发生变色反应,测量底物溶液的吸收光谱,即可根据结果判断是否有效固定了酶,同时达到判断这种方法是否可固定蛋白质的目的。具有快速、方便、低成本等优点。采用经过验证的方法固定抗IgG后通入IgG,实验响应良好。