免疫反馈网络肿瘤治疗仪

肿瘤是当前医学领域尚未完全攻克的难题,针对这一现象,提出了一种借用人工免疫系统模型,通过嵌入式技术等实现手段,利用生物电疗法治疗肿瘤的方法。仿生物电肿瘤治疗仪能产生年轻的、健康的、正常的仿生物电来取代患者自身病变的、残缺的生物电,并以适当的方式作用于人体,从而达到激发人体固有免疫系统,恢复原有免疫功能、提升人体抵抗病原侵入的能力,达到自愈的目的。详细介绍了系统的设计方法、软硬件构成和应用情况,在一定程度上为人工免疫网络的应用研究拓宽了思路。     

人工免疫机制在局域网安全检测与防御中的应用

三峡大学湖北443002摘要：本文介绍了人体免疫系统和人工免疫机制,分析了人工免疫机制在计算机及网络安全领域的研究现状,设计了一种在局域网中应用人工免疫机制的安全检测与防御系统,在这个系统中提出了一些人工免疫机制在局域网安全检测方面的新思路和方法。     

基于人工免疫系统的数据挖掘技术原理与应用

该文首先对人工免疫系统的发展历史和自然免疫系统机制进行简要介绍,之后重点对人工免疫系统在数据挖掘领域中的原理与应用研究进行详细分析综述。主要分两个部分,第一部分是从数据挖掘的主要任务——聚类和分类角度阐述人工免疫系统应用现状,第二部分主要从数据挖掘对象子领域——网络数据挖掘和文件挖掘角度分析人工免疫系统的应用,同时对有代表性的方法及其改进过程进行了详细介绍,指出人工免疫数据挖掘技术中的优点和缺点。最后提出新的研究方向。     

人工免疫网络记忆分类并行算法研究

人类免疫系统是极为复杂的、固有并行性、分布式系统。人工免疫系统领域已经开发了许多免疫系统启发的算法,但没有几个显示并行性。论文提出并行人工免疫网络记忆分类系统,给出简单的并行人工免疫网络记忆分类算法。初始结果显示,通过简单的并行化方法,与并行人工免疫识别系统AIRS的比较研究表明,并行人工免疫网络记忆分类系统在并行效率等方面的性能优于后者。     

人工免疫在网络故障诊断中的应用研究

人工免疫系统（AIS）已被广泛的应用在许多领域,如数据分析、多峰函数优化、故障检测等。文章将人工免疫方法引入到PMC模型下网络故障诊断中,文中主要研究如何将AIS应用于系统级故障诊断。理论分析和实验结果表明,基于人工免疫系统的网络故障诊断方法在平均和最差情况下均优于传统的方法。     

人工免疫原理在网络入侵检测中的应用

分析研究了人工免疫原理在网络入侵检测中应用的可行性，结合人工免疫模型和数据挖掘技术建立了一个网络入侵检测系统模型对抗体生成过程中的关键算法进行了描述。     

人工免疫系统及其在控制领域中的应用

本文介绍了人工免疫系统及其在控制领域中的应用，首先简要介绍生物免疫系 统可被发展用于人工免疫系统的相关机理，然后给出基于生物免疫系统机理开发的、并应用 于控制领域的人工免疫网络模型和免疫学习算法，接着举例说明近年来人工免疫系统在控制 领域中的最新研究结果，最后给出了进一步的研究工作．     

基于人工免疫的入侵检测研究

人工免疫系统与入侵检测系统有许多相似性,本文分析研究了人工免疫原理在网络入侵检测中应用的可行性,结合人工免疫模型建立了一个网络入侵检测系统模型,以改进现有网络入侵检测系统的性能,提高网络系统的安全性,具有分布性、自组织性等特点。     

自重构的人工免疫网络模型

由于未知环境、突发故障、不可预测攻击等因素,人工免疫系统的故障检测与修复、网络重构等问题影响系统的整体功能和鲁棒性;为了探究此类问题的解决方法,提出了自重构的人工免疫网络模型,利用系统的正常模型提高故障的检测率和修复率,利用重构策略增强系统的适应性和容错性;进而,设计了人工免疫网络的自重构算法和免疫算法,探讨了自重构人工免疫网络在多机器人系统中的应用方法;通过网络特性分析和实验验证,自重构的人工免疫网络模型是有效而有用的。     

一种改进的人工免疫网络：免疫特征映射网

针对目前人工免疫系统研究领域存在的算法模型不统一、算法功能不明确以及算法应用领域模糊的问题,从生物免疫系统的功能机理出发,在总结和分析现有研究成果的基础上,明确应用方向,确定算法模型,提出一种用于特征数据提取的人工免疫网络算法——免疫特征映射网。在对算法功能和性能定性分析的基础上,通过仿真实验验证了所提算法在特征数据提取方面的可行性和有效性。     

A philosophical study of human–artefact interaction

This paper focuses on a critical intersection between philosophy of technology and cognitive archaeology with an objective in view. These two rapidly developing disciplines intersect on the problem of characterizing the dynamic relationship between human beings and technical artefacts. The intricacies of human–artefact relation have been a source of curiosity and contemplation for philosophers of technology since 1970s. In contrast, the cognitive archaeologists’ interest in interpreting the exact nature of the interaction between human cognitive system and material culture is relatively recent. The central objective of this paper is to show why the cognitive archaeologists’ account of the relation between human cognition and material culture as exemplified by the classical-phenomenological example of the blind person’s use of a stick needs to be critically reviewed in the light of philosophical-(post)-phenomenological research and new empirical findings on tool use and prosthesis. There are three sections in this paper. In the first section, certain distinctive features of cognitive archaeology, which are important for the following discussion, are mentioned in brief. The second section consists of an exposition of Don Ihde’s account of embodiment relations—typical examples of which include the blind person’s use of a stick—with particular emphasis on the aspect of what Ihde calls “quasi-transparency”. Possible reasons behind the cognitive archaeologists’ indifference to the said aspect are pointed out. In the third section, the difficulties involved in analysing the case of the blind person’s stick are discussed in the light of recent empirical research on bodily extension (by means of artefacts) and prosthesis (incorporation of artefacts into the body). The paper ends with some critical comments on the cognitive archaeologists’ interpretation of the relation between the blind person and his stick and explains why their interpretation requires revision in view of current findings on tool use and prosthesis.     

Improved method of multicriteria fuzzy decision-making based on vague sets

An improved method is presented, which provides improved score functions to measure the degree of suitability of each of a set of alternatives, with respect to a set of criteria presented with vague values. The improved algorithm for score functions is introduced by taking into account the effect of an unknown degree (hesitancy degree) of the vague values on the degree of suitability to which each alternative satisfies the decision-maker’s requirement. The meaning of the proposed function is more transparent than that of other existing functions, which are not reasonable in some cases. The proposed function illustrates that it has stronger discrimination in comparison with previous functions. The applicability of this improved multicriteria fuzzy decision-making approach is also demonstrated by means of examples. The improved method can be used to rank the decision alternatives according to the decision criteria. The functions proposed in this paper can provide a more useful technique than previous functions, in order to efficiently help the decision-maker.     

Effect of robot’s gaze behaviors for attracting and controlling human attention

Controlling someone’s attention can be defined as shifting his/her attention from the existing direction to another. To shift someone’s attention, gaining attention and meeting gaze are two most important prerequisites. If a robot would like to communicate a particular person, it should turn its gaze to him/her for eye contact. However, it is not an easy task for the robot to make eye contact because such a turning action alone may not be effective in all situations, especially when the robot and the human are not facing each other or the human is intensely attending to his/her task. Therefore, the robot should perform some actions so that it can attract the target person and make him/her respond to the robot to meet gaze. In this paper, we present a robot that can attract a target person’s attention by moving its head, make eye contact through showing gaze awareness by blinking its eyes, and directs his/her attention by repeating its eyes and head turns from the person to the target object. Experiments using 20 human participants confirm the effectiveness of the robot actions to control human attention.     

基于指纹特征匹配的考勤系统设计

指纹是每个人区别于他人并且终身不变的重要特征 ,这一特征可以用来进行人的身份鉴别。本文介绍了一个基于指纹特征匹配的考勤系统。     

Prediction of Manipulation Actions

By looking at a person’s hands, one can often tell what the person is going to do next, how his/her hands are moving and where they will be, because an actor’s intentions shape his/her movement kinematics during action execution. Similarly, active systems with real-time constraints must not simply rely on passive video-segment classification, but they have to continuously update their estimates and predict future actions. In this paper, we study the prediction of dexterous actions. We recorded videos of subjects performing different manipulation actions on the same object, such as “squeezing”, “flipping”, “washing”, “wiping” and “scratching” with a sponge. In psychophysical experiments, we evaluated human observers’ skills in predicting actions from video sequences of different length, depicting the hand movement in the preparation and execution of actions before and after contact with the object. We then developed a recurrent neural network based method for action prediction using as input image patches around the hand. We also used the same formalism to predict the forces on the finger tips using for training synchronized video and force data streams. Evaluations on two new datasets show that our system closely matches human performance in the recognition task, and demonstrate the ability of our algorithms to predict in real time what and how a dexterous action is performed.     

Hierarchical TS fuzzy system and its universal approximation

An efficient tool to deal with the ‘rule explosion’ problem is the hierarchical system by which a fuzzy system can be decomposed into a number of hierarchically connected low-dimensional systems. In this paper a generalized hierarchical Tagaki–Sugeno (TS) system is built. It is shown that the input–output (I/O) relationship of this generalized hierarchical system can be represented as one of a standard TS fuzzy system. And the system approximation capability is analyzed by taking piecewise linear functions as a bridge. By constructive method it is proven that the hierarchical fuzzy systems (HFS’s) can be universal approximators. For the given approximation accuracy, an estimation formula about the number of the rules needed in the HFS is established. Finally some simulation examples confirm that the HFS’s with smaller size rule base can approximate the given functions with high accuracy. The results obtained here provide us with the theoretical basis for various applications of HFS’s.     

李雅普諾夫第二方法与最优控制器分析設計计问題

本文应用李雅普诺夫第二方法与贝尔曼的动态规则法,讨论了最优控制器的分析设计问题,并提出了一种对理论分析与实际计算都比较方便的序列逼近法.在第一节中,给出了最优控制器分析设计问题的一般提法与作为必要条件的贝尔曼方程.在第二节中,给出了对进一步研究所需的有关李雅普诺夫第二方法的基本结果,以便使以后的论证更为简捷.在第三节中,给出了在一般提法下分析设计问题的一般性结果,其中包括唯一性定理、贝尔曼方程的充分性、序列逼近法及其基本性质.在第四节中,研究了常系数线性系统,解决了最优控制的存在唯一性问题,文中列举了数例,以说明序列逼近法具有较快的收斂速度,并论证了这种方法的收斂速度系按指数进行的.在第五节中,研究了拟常系数线性系统,并分别对缓变系数线性系统与定常拟线性系统进行了讨论,给出了例题以说明理论结果.最后在第六节中,讨论了某些进一步推广的问题.本文所引入的方法,均直接针对综合问题而给出,因而在理论研究与实际运用上,是方便可行的.     

Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education

In recent Japan, many elementary and secondary school children strongly feel an awareness of resistance toward manufacturing class. It is considered as one of the aversion causes to science and engineering. We suspect that the shortage of teacher’s manufacturing experience is related to this background. So, the authors previously have developed a brush coating skill training system with a haptic device to improve the ability. In the skill training, historically, the instruction method while reproducing the video of trainee’s action has been considered to be effective. Thus, our developed system includes a software system to visualize the brush coating motion. This software system can record trainee’s brush coating motion and visualize the data in virtual three-dimensional space, so the advisor and the trainee can share his/her skill level and the wrong motion such as extra shaking and tilt by reproducing his/her past training data on a computer screen. In this paper, to improve the learning effectiveness of our brush coating skill training system, some kinds of instructional methods are designed, and the difference of the instructional methods is analyzed based on the proposed criteria. This paper performed some experiments with 10 college students who have less experience of brush coating. From the analysis results, the most effective instruction method was clarified.     

奇数变元plateaued函数代数免疫性质研究

Plateaued函数是包含Bent函数和部分Bent函数的更大函数类,具有许多优良的密码学性质。基于布尔函数非线性度与代数免疫阶之间的关系,利用Walsh谱等工具,讨论奇数变元的plateaued函数的代数免疫性质,得到其存在低次零化子的一个充分条件,并进一步刻画变元个数n与plateaued函数的阶r之间的具体关系,利用此关系可确定函数代数免疫阶的上界。     

基于信息熵的免疫遗传算法聚类分析

介绍了基于信息熵的免疫遗传算法的聚类分析方法。将免疫算法引入到遗传算法中,利用免疫算法的免疫记忆、自我调节和多样性保持功能弥补了标准遗传算法的局部搜索能力差、计算量大和早熟收敛等问题。采用DNA进行抗体编码,利用信息熵来表示抗体间亲和度及浓度,并采用聚合亲和度,实现了抗体群的自我调节和多样性保持策略。实验表明,该算法优于标准遗传算法。