基于Immune Agent的城市水污染控制决策系统

将免疫算法和Agent思想应用于实现决策支持,建立基于免疫Agent的城市河流水环境污染控制决策支持系统,避免基于模型的决策支持系统在求解问题时难以适应动态环境变化的缺陷,使决策支持系统面向问题,提高其智能性和自适应性。实验结果表明,使用AHP方法选择Agent方案是可行的。

Towards an Artificial Immune System for Detecting Anomalies in Wireless Mesh Networks

This paper focuses on investigating immunological principles in designing a multi-agent security architecture for intrusion detection and response in wireless mesh networks.In this approach,the immunity-based agents monitor the situation in the network.These agents can take appropriate actions according to the underlying security policies.Specifically,their activities are coordinated in a hierarchical fashion while sensing,communicating,determining and generating responses.Such an agent can learn about and adapt to its environment dynamically and can detect both known and unknown intrusions.The proposed intrusion detection architecture is designed to be flexible,extendible,and adaptable so that it can perform real-time monitoring.This paper provides the conceptual view and a general framework of the proposed system.In the end,the architecture is illustrated by an example and by simulation to show it can prevent attacks efficiently.

Review of copper and copper alloys as immune and antibacterial element

This review discussed the relationship among copper,human,and bacteria.Copper plays an important role in human immunity.Copper can boost human immune defense reactions at recommended intake level.The content mainly focused on copper antibacterial activity and copper antibacterial mechanisms.Conclusions stated that copper antibacterial activity is affected by copper homeostasis mechanisms in bacteria,adhesion,humidity,strain specificity,and manufacturing methods of antibacterial agents.For the preparation of particle antibacterial agents and surface antibacterial agents,this review discussed several manufacturing methods,such as sol−gel,cold spray,and biosynthesis belonging to chemical synthesis,physical synthesis,and biological synthesis,respectively.Sol−gel method contributes to the preparation of particle agents and surface agents.Cold spray technique is utilized in synthesis of surface copper agent.Biosynthesis is a novel technology which can be applied in nanoparticle agent preparation.

Multi-Agent Network Intrusion Active Defense Model Based on Immune Theory

Inspired by the immune theory and multi-agent systems, an immune multi-agent active defense model for network intrusion is established. The concept of immune agent is introduced, and its running mechanism is established. The method, which uses antibody concentration to quantitatively describe the degree of intrusion danger, is presented. This model implements the multi-layer and distributed active defense mechanism for network intrusion. The experiment results show that this model is a good solution to the network security defense.

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative airdefense system of systems （SoS） for surface warship formation （CASoSSWF） to the biological immune system （BIS） according to the similarity of the defense mechanism and characteristics between the CASoSSWF and the BIS, and then designs the models of components and the architecture for a monitoring agent, a regulating agent, a killer agent, a pre-warning agent and a communicating agent by making use of the theories and methods of the artificial immune system, the multi-agent system （MAS）, the vaccine and the danger theory （DT）. Moreover a new immune multi-agent model using vaccine based on DT （IMMUVBDT） for the cooperative air-defense SoS is advanced. The immune response and immune mechanism of the CASoSSWF are analyzed. The model has a capability of memory, evolution, commendable dynamic environment adaptability and self-learning, and embodies adequately the cooperative air-defense mechanism for the CASoSSWF. Therefore it shows a novel idea for the CASoSSWF which can provide conception models for a surface warship formation operation simulation system.

Cation-anionicpalladium Complexes—New Types of Antitumor, Immune Response-modulating and Radioprotective Agents

Here we report results of our investigations of new class of bioactive palladium compounds (AH n ) m [PdCl 4 ], which were discovered as a result of systematic study of correlations between composition, structure and bioactivity of different types of platinum metals coordination compounds. For the first time we demonstrated in vivoa possibility of development of palladium compounds, which exceed cisplatin in antitumor activity and do not show immunosuppressive effects, and palladium compounds with immunostimulating and radioprotective activities. Combinations of cytostatic agents or radiation with palladium complexes lead to significant synergism of their activities and high therapeutic efficiency exceeded an efficiency of their separated use.

Research on Application of Mobile Agent Based on Immune Algorithms in Ad Hoc Network

Ad Hoc network is a kind of multi hop, self-organizing wireless network without center. Each node in network can be used as host as well as router and it can form any network topology through wireless connections. Because of characteristics of itself, many new service items and application fields appear;meanwhile, it is also faced with many new security threats. Using immune agent can perceive the change of network node and make corresponding decision behavior, find the misbehavior nodes in the network as soon as possible and reduce the network attack and improve the immune competence of network.

A Multi-Agent Immune Network Algorithm and Its Application to Murphree Efficiency Determination for the Distillation Column

Artificial Immune Network （aiNet） algorithms have become popular for global optimization in many modem industrial applications. However, high-dimensional systems using such models suffer from a potential premature convergence problem. In the existing aiNet algorithms, the premature convergence problem can be avoided by implementing various clonal selection methods, such as immune suppression and mutation approaches, both for single population and multi-population cases. This paper presents a new Multi-Agent Artificial Immune Network （Ma-aiNet） algorithm, which combines immune mechanics and multiagent technology, to overcome the premature convergence problem in high-dimensional systems and to efficiently use the agent ability of sensing and acting on the environment. Ma-aiNet integrates global and local search algorithms. The perform- ance of the proposed method is evaluated using 10 benchmark problems, and the results are compared with other well-known intelligent algorithms. The study demonstrates that Ma-aiNet outperforms other algorithms tested. Ma-aiNet is also used to determine the Murphree efficiency of a distillation column with satisfactory results.

A Network Intrusion Detection Model Based on Immune Multi-Agent

A new network intrusion detection model based on immune multi-agent theory is established and the concept of multi-agents is advanced to realize the logical structure and running mechanism of immune multi-agent as well as multi-level and distributed detection mechanism against network intrusion, using the adaptability, diversity and memory properties of artificial immune algorithm and combing the robustness and distributed character of multi-agents system structure. The experiment results conclude that this system is working pretty well in network security detection.

Targeted and immune therapies for hepatocellular carcinoma:Predictions for 2019 and beyond

Systemic therapy for hepatocellular carcinoma(HCC) has markedly advanced since the survival benefit of a molecular targeted agent, sorafenib, were demonstrated in the SHARP and Asia Pacific trials in 2007. Treatment options for patients with advanced HCC increased by sorafenib, and long-term survival for patients with advanced stage HCC has become possible to some extent. However,development of a more potent first-line novel molecular targeted agent replacing sorafenib and a potent second-line agent after disease progression on or intolerant to sorafenib has been warranted because sorafenib lacks tumor shrinking/necrotizing effects and induces relatively severe adverse events such as hand foot skin reaction. Many agents in the 1 st line and 2 nd line setting were attempted to develop between 2007 and 2016, but all of these clinical trials failed.On the other hand, clinical trials of 4 agents(regorafenib, lenvatinib,cabozantinib, and ramucirumab) succeeded in succession in 2017 and 2018, and their use in clinical practice is possible(regorafenib and lenvatinib) or underway(cabozantinib and ramucirumab). Furthermore, all of 5 clinical trials of combination therapy with transcatheter chemoembolization(TACE) plus a molecular targeted agent failed to date, however, the combination of TACE and sorafenib(TACTICS trials) was reported to be successful and presented at ASCO in 2018. Phase 3 clinical trials of immune checkpoint inhibitors and a combination therapy of immune checkpoint inhibitors and molecular targeted agents are also ongoing, which suggests treatment paradigm of HCC in all stages from early,intermediate and advanced stage, is expected to be changed drastically in the very near future.

基于免疫Agent的电力电缆线路故障检测系统

为区别故障信号、非故障信号,实现对电缆线路故障的准确检测,设计了基于免疫Agent的电力电缆线路故障检测系统。利用前端检测电路为故障分析模块、测距方式切换模块提供电量传输信号,完成系统前端检测装置的连接。按照免疫Agent检测原理提取电力电缆线路故障信号的特征,联合已获取信号对象,求解检测插值指标的具体数值。结合各级硬件设备结构,完成系统设计。实验结果表明,该系统可同时检测波频为10~20 Hz、40~50 Hz、60~70 Hz的故障信号与波频为20~30 Hz、30~40 Hz、50~60 Hz的非故障信号,可以在精准辨别故障与非故障信号的同时,实现对电力电缆线路故障的准确检测。

基于IA-VMD的浮环密封声发射信号降噪与特征提取

针对航空发动机浮环密封运行时,声发射信号易受外界噪声干扰,且特征信号难以提取的问题,提出一种基于免疫算法(immune algorithm, IA)和变分模态分解(variational mode decomposition, VMD)的声发射信号处理方法。首先应用免疫算法对变分模态分解中的模态数K和惩罚因子α进行优化,采用样本熵为亲和度函数,得到VMD算法中的最佳参数组合。其次,对原始信号进行分解得到若干模态分量(intrinsic mode function, IMF)并计算出各个分量的相对熵,选取差异小的分量进行重构得到降噪信号。仿真信号分析表明,IA-VMD方法可以获得最佳参数,在抗噪声干扰方面具有明显优势。最后,对浮环密封声发射信号降噪并进行特征提取,结果表明,采用IA-VMD方法能够在降噪的同时最大限度保留有效信息,获得表征浮环密封主密封面碰摩状态的声发射信号,为今后浮环密封故障诊断奠定基础。

Modelling Immune System:Principles,Models,Analysis and Perspectives

The biological immune system is a complex adaptive system.There are lots of benefits for building the model of the immune system.For biological researchers,they can test some hypotheses about the infection process or simulate the responses of some drugs.For computer researchers,they can build distributed,robust and fault tolerant networks inspired by the functions of the immune system.This paper provides a comprehensive survey of the literatures on modelling the immune system.From the methodology perspective,the paper compares and analyzes the existing approaches and models,and also demonstrates the focusing research effort on the future immune models in the next few years.

Research of Anti-spam System Basing on Immunity Systemand Mobile Agent

The human immune system has the function of selfdiscern.It can identify the non-self antigen and clear it through the immune response automatically.So,human body has the power of resisting disease.The anti-spam system basing on immune system is proposed by using immune system′s theory,and it is introduced in the mail service of enterprise VPN.Regard VPN as the human body,the mobile agent is simulated the antibody because of its movable and intelligent,and the spam is simulated the antigen.It can clear the spam by using immune mechanism.This method is a new thinking of anti-spam mail.The advantage is overcoming the weakness on independence of traditional antispam system.

分层模型与改进IA的含DG配电网故障定位研究

常规的含分布式发电(DG)装置的配电网故障定位方法忽略了配电网馈线节点数量的影响,导致定位结果精度不高。因此,将分层模型与改进免疫算法(IA)相结合,设计了分层模型与改进IA的含DG配电网故障定位方法。首先,构建三层含DG配电网故障分层模型,并分析单节点故障信息。然后,通过改进基础IA的抗体间相似度,优化算法的期望繁殖度。最后,基于改进后的IA优化分层模型的节点搜索路径,建立世界坐标系并融合DG开关状态得到最终的故障定位信息。试验结果表明:应用该方法定位的故障节点距离与真实的故障节点距离最大差值仅为0.013 km。该方法表现出的适应度值曲线与最优适应度值曲线高度接近,定位精度较高,能够满足含DG配电网故障运维工作的现实需求。

七叶树皂苷-Ia的人肠内细菌生物转化产物及其抗肿瘤活性研究

目的 :探讨人肠内细菌和短乳杆菌粗酶转化七叶树皂苷 Ia ,阐明转化产物结构 ,研究其抗肿瘤活性。方法 :采用人肠内细菌和短乳杆菌粗酶分别与七叶树皂苷 Ia共温孵方法 ,通过色谱技术分离、纯化转化产物 ,应用波谱技术确定转化产物结构。结果 :七叶树皂苷 Ia可由人肠内细菌和短乳杆菌粗酶转化产生异七叶树皂苷Ia、去酰基七叶树皂苷I、2 1 β O 巴豆酰基原七叶树皂苷元和原七叶树皂苷元。去酰基七叶树皂苷I对小鼠肉瘤S 1 80、肝癌和肺癌细胞的生长具有抑制作用。结论 :七叶树皂苷 Ia是“前药” ,人肠内细菌和短乳杆菌粗酶能够转化七叶树皂苷 Ia;转化产物去酰基七叶树皂苷I有抗肿瘤活性 。

免疫agent概念与模型

阐述了免疫 agent(Im A)这一新概念 ,分析了免疫 agent求解实体的个性特点 ,构造出一种能对动态环境进行实时监控和故障预警的多免疫 agent的形式化网络模型 ,并提出一种新颖的免疫 agent算法。以此构建的系统具有更强的灵活性、鲁棒性和局部更新能力 ,是一个适用于动态环境的自组织系统。

基于免疫计算的agent系统研究

由于免疫系统具有良好的特性以及与multi-agent系统的相似性,因此将免疫机理应用于multi-agent系统的研究越来越受到关注。该文提出了一种新的实体agent——免疫agent和多免疫agent系统。首先给出了免疫agent的功能、结构以及形式化描述,然后构造了基于独特性网络理论的多免疫agent系统模型,借鉴生态学协同进化机理提出了系统中免疫agent之间的四种交互关系:共生、共栖、捕食者-猎物和竞争关系,并给出了免疫agent的浓度函数表达式。

基于免疫计算的Multi-agent系统设计方法

依据人工免疫系统的特点,分析和设计了免疫Agent的结构,建立了一种基于生物免疫机制的Multi-Agent系统网络模型,并给出了其形式化描述。以此为基础,阐述了构建具有更强的灵活性、鲁棒性和局部更新能力的复杂分布式软件系统的方法和步骤,这对现有的软件工程起到了重要的补充作用。

基于免疫Agent的液体火箭发动机故障诊断

为解决液体火箭发动机系统非线性导致的故障诊断困难问题,将免疫Agent(IA)技术应用于液体火箭发动机的故障诊断研究。结合可变半径人工识别球(ARB)方法,在学习人类举一反三的机制,采用最大识别概率原则的基础上,构建了免疫Agent实体,并进行了仿真实验。实验结果表明:该方法训练时间短、正确率高、有较强的抗噪能力和自学习能力,可以应用于液体火箭发动机的状态监测与故障诊断。