一种偌于自组织特征映射的前馈式神经网络模型及其算法

本文提出了一种基于自组织特征映射的前馈式人工神经网络模型，介绍了其结构和算法。该模型基于自组织特征映射机理，用统计方法获得输入信号对不同模式类别的隶属程度，并由此进行模式分类判决计算。该神经网络模型还导出了“模式地形图”的概念，可以实现数据聚类分析的可视化。经计算机模拟验证，上述算法和概念是有效的     

模糊神经网络在齿轮故障诊断中的应用

介绍了模糊二维自组织神经网络在齿轮故障诊断中的应用方法，并通过齿轮论证了该方法在齿轮故障分类中的实用性。该方法具有结构算法简单、无监督自学习和侧向联想等功能。它有很好的应用前景，可以广泛应用于齿轮的故障诊断。结果表明：模糊二维自组织神经网络是实时地解决齿轮故障中复杂的状态识别问题的一种有效工具。     

论无线自组织网络的基本原理与操作

自组织系统有着灵活、白适应、抗故障、可扩展的特点，随遇计算的出现和随遇无线通信发展趋势要求网络具有更高程度的自组织。文章研究自组织问题，分析自组织的优点，论述了无线自组织网络的基本原理以及本地交互、相互协调、主动与按需、自适应4种基本操作。     

大规模自组织网络路由联合仿真方法

针对由舰船、飞机等平台在海上形成的大规模军用自组织网络,提出了一种联合仿真方法,设计了基于连通度的分层分簇路由算法,解决了其路由仿真工作面临的高计算复杂度和时间复杂度问题,并通过仿真验证了该方法的可行性。     

无线自组织网络TCP容量优化

为了计算无线自组织网络中准确的TCP容量,并利用其进行有效的窗口控制,以避免拥塞窗口增长过速的问题,提出一种适用于无线自组织网络TCP容量的优化计算。此方法基于时延和空间复用率,考虑网络中竞争干扰,解决了以往的计算方法对拓扑不能广泛适用的问题。模拟结果显示,基于文章的TCP容量进行拥塞窗口调节,能有效地提高网络的吞吐量。     

新一代的功能点规模估算方法:COSMIC-FFP

COSMIC—FFP方法是新一代的功能点规模估算方法，通过计算系统中四种数据移动类型（输入、输出、读、写）的数量来度量软件的规模。计算规则直接、简单，不需要调整因子，易于掌握，目前已经为众多的软件组织所接受。简明扼要地介绍了该方法的原理、过程、计算步骤与优势，对于采用该方法的组织提供了一个实用的指南。     

基于自适应重迭正交变换的音频信号编码

本文提出了一种基于自适应重迭正交变换的音频信号编码算法，讨论了变换系数的量化及自比特分配问题。实验结果表明该方法的编码质量优于传统的离散余弦变换，没有分块效应，而计算量则相当。     

基于FDTD的运动导体目标电磁散射仿真

提出了一种基于散射模型的等价相对边界条件。将该等价相对边界条件与传统FDTD方法相结合提出了求解运动导体目标电磁散射问题的方法。并将该方法用于计算运动的无限大导体表面的电磁散射问题，计算结果与文献所给方法的计算结果吻合很好，验证了该方法求解运动导体目标电磁散射问题的正确性和有效性。用该方法计算了运动三维导体目标的雷达散射截面。     

一种无线移动自组织网络路由协议设计方法

提出了一种无线移动自组织网络路由协议的设计方法。首先阐述了目前无线移动自组织网络发展现状和该类网络实现的难点,然后针对在设定网络节点级数的TDMA系统中如何进行路由表的创建和维护,对系统路由表的收敛时间进行了计算,并给出一般情况下路由表收敛时间的计算公式。最后,对该设计方法的优缺点进行了总结和归纳,得出该设计方法适合传输时延要求小、网络规模不大的军事通信应用场合的结论。     

一种基于SDN的移动自组织网络服务路径重建算法

针对基于SDN的移动自组织网络链路故障时的服务路径重建问题，提出一种服务路径分级重建方法，通过备份重建和计算重建相结合的过程提高了服务路径重建的时效性；同时，考虑服务路径重建可能引发的路径冲突问题，从图论的基本原理出发，给出了完备的判定重建定理，在快速重建的基础上亦保证重建服务路径的有效性。     

A combined self-organizing feature map and multilayer perceptronfor isolated word recognition

A neural network system which combines a self-organizing feature map and multilayer perception for the problem of isolated word speech recognition is presented. A new method combining self-organization learning and K-means clustering is used for the training of the feature map, and an efficient adaptive nearby-search coding method based on the `locality' of the self-organization is designed. The coding method is shown to save about 50% computation without degradation in recognition rate compared to full-search coding. Various experiments for different choices of parameters in the system were conducted on the TI 20 word database with best recognition rates as high as 99.5% for both speaker-dependent and multispeaker-dependent tests     

MIMO Scheduling Effectiveness Analysis for Bursty Data Service from View of QoE

In the user selection phrase of the conventional Multiple-input-multiple-output (MIMO) scheduling schemes,the frequent user exchange deteriorates the Quality of user experience (QoE) of the bursty data service.And the channel vector orthogonalization computation results in a high time cost.To address these problems,we propose an inertial scheduling policy to reduce the number of noneffective user exchange,and substitute self-organization policy for channel vector orthogonalization computation to reduce computational complexity.The relationship between the scheduling effectiveness and the inertia of objective function is observed in the simulation.The simulation results show that the inertial scheduling policy effectively reduce the number of potential noneffective scheduling which is inversely proportional to the Mean opinion score (MOS) that quantifies the QoE.Our proposed scheduling scheme provides significant improvement in QoE performance in the simulation.Although the proposed scheduling scheme does not consider the channel vector orthogonalization in the user selection phrase,its throughput approaches the level of the throughput-oriented scheme because of its selforganization scheduling policy.     

Secure Localization Technology Based on Dynamic Trust Management in Wireless Sensor Networks

Wireless sensor networks have critical applications in various fields,and the algorithm of their se-cure localization has become a vital technology to support a network.In the light of the self-organization,random deployment and dynamic topology,the localization process is vulnerable to various kinds of malicious attacks.The model of dynamic trust management for a given node is proposed to deal with security concerns in wireless sensor networks.The trust computation is divided into three stages,which are the stage of trust initialization,trust establishment,and trust evolution.The initial value of a global trust relationship is established through a corresponding global trust relation graph in the initial stage of trust.The trust value of each node is calculated by the attribute value in the stage of trust establishment.In the evolution of trust,the iterative process of trust value is accelerated via the finite state machine.Compared with the existing wireless sensor networks,simulation results show that the proposed security localization technology method can resist many kinds of attacks with low communication and time consumption.     

无线传感器网络的自组织机制研究

无线传感器网络的自组织包含不依赖于固定通信基础设施的有规则联系和运动,本文在特定应用中研究这一过程.在定性分析无线传感器网络的自组织特性之后,提出自组织度和自组织单位能耗的自组织评价方法,在典型应用中以此量化分析无线传感器网络的自组织演化机制.仿真表明,在特定应用中的无线传感器网络表现出孕育、发育、成熟、衰退和死亡的自组织过程,自组织能耗依赖于特定的部署方式和无线模型.     

Ion Synthesis: Si–Ge Quantum Dots

Semiconductors - We present a method of Si–Ge QDs formation by ion beam implantation (IBI) technique and high temperature annealing for self-organization. Implantation doses varied from 1014...     

Self-Organization of Complex Networks Applied to Wireless World Systems

This paper provides a brief overview of the role that self-organization can play in the next generation wireless networks (S. Dixit, WWRF 8bis Meeting, February 26–27, Beijing, China). First, we present the definition, scope, and applicability of self-organization to wireless world systems. Then we briefly articulate the need for self-organization, and some recent breakthrough advances in this emerging area of research. This is followed by high-level system architecture for future communication systems and some early mechanisms for self-organization. The paper concludes with the challenges in this new field with key research issues.     

改进的GMDH型神经网络及其在混沌预测中的应用

本文提出基于改进自组织方法的GMDH（Group Method of Data Handling）型神经网络并将它应用于混沌顶测。一般的GMDH型神经网络的自组织功能是通过给定一个准则阈值来确定或直接给定数值来实现，但GMDH型神经网络的自组织准则的阈值难以合适确定，由此提出了一种简单的自组织方法来实现真正意义上的自组织功能。这种用改进了自组织方法所构成的GMDH型神经网络可以应用于混沌时间序列预测。通过仿真实验，证明其预测效果明显比基本的GMDH型神经网络好，即改进GMDH型神经网络优于基本的GMDH型神经网络。     

A CNN-based chip for robot locomotion control

In this paper, the paradigm of emergent computation is applied to locomotion control in legged robots: the locomotion gait is the result of self-organization of a network of locally coupled nonlinear oscillators. This means to adopt the biological paradigm of central pattern generator (CPG), implemented by using cellular neural networks (CNNs). The whole control strategy is hybrid in the sense that the gait generation is accomplished by a fully analog CNN, while a simple logic unit modulates the behavior of the CNN-based CPG, so that the strategy is suitable to eventually include sensory feedback. The design of a VLSI chip implementing the CNN-based CPG and some experimental results on the chip are presented. The chip is designed using a switched-capacitor technique, fundamental to obtain in a simple and direct way some key features of the hybrid control discussed. The experimental results confirm the suitability of the approach.     

短波自组织网关键技术探讨

分析了短波自组织网还需进一步研究的主要关键技术,包括网络协议体系结构、信道接入技术、路由技术与传输控制技术等。短波自组织网的网络技术不能套用传统Ad Hoc网络技术,针对短波信道所特有的不稳定性、速率低以及易受干扰等问题,需要对传统的网络技术进行重新设计,满足短波自组织网的组网需求。将短波自组织网的网络技术与Ad Hoc网络技术进行了对比分析。     

民族地区农村科普自组织模式探析———基于广西武鸣县四个村落的调查

新型的农村科普自组织日益发展并发挥了重要作用。目前少数民族地区农村大致存在"支部+协会+示范岗+农户"、"公司+基地+农户+协会"、"领头雁+协会+基地+农户"和"党员+基地+农户"等四类科普自组织模式。它们运作机制是:以农村精英为主力、以学用先进农业技术为主要内容、以自身优势为基础、以市场为导向、以效益为驱动、以致富惠农为目的、以政府扶持为保障。针对目前科普自组织存在的内部利益纠纷、培养负责人难度大、独立性不强等缺陷,可以在完善组织规则、培育专门人才、培养发展独立性的基础上予以克服。在未来,民族地区农村科普自组织将兼有"制度资本型自组织"特征和"社会资本型自组织"特征,并呈多样化发展态势。