Three-dimensional scan-based algorithm for directional neighbor discovery in ad hoc networks

In recent years, neighbor discovery techniques using directional antennas have attracted widespread attention. Most currently available directional neighbor discovery techniques are designed based on two-dimensional (2D) space. Although these algorithms can accomplish the discovery between nodes, the algorithm portability is poor for three-dimensional (3D) platforms, and the application scenarios are limited since new communication scenarios such as unmanned aerial vehicle (UAV) groups and maritime fleets emerge where information needs to be delivered in real time and nodes are located in 3D space. This paper proposes a new deterministic directional neighbor discovery algorithm in 3D space named 3D scan-based algorithm (3D-SBA) to meet the needs of the line-of-sight (LOS) scenes. Four existing neighbor discovery algorithms, namely, SBA-based random mode selection (SBA-R), quorum, complete random algorithm (CRA), and SBA-based leader election algorithm (LE), have been extended to our proposed 3D algorithm model for simulation and comparative analysis with 3D-SBA. The simulation results show that the 3D-SBA algorithm consumes 51.15%, 180.20%, 9.48%, and 17.49% of the time slots compared with the four existing algorithms mentioned above. However, the quorum algorithm has a very high node collision rate, up to 92.11%. Ultimately, the 3D-SBA algorithm has the best performance considering the conflicts and the density of network nodes.     

基于MANET网络的服务协议

为了实现MANET网络的服务协议,提出了一种基于OLSR路由协议的MANET网络服务发布发现协议的设计方案,分析了OLSR路由协议的特点,根据MPR节点算法的特殊性,将服务消息通过MPR节点转发,通过主动模式和被动模式获取服务消息,实现服务发现.并设计了在OLSR路由协议下的服务协议机制.     

PON资源自动发现的方案研究与探索

重点阐述解决电信运营商在支持光网规模发展、宽带服务领先过程中所遇到的资源数据与现网数据、资源数据与网管数据存在差异等突出问题。提出结合PON技术、智能ODN技术、移动互联网技术构建资源自动发现引擎架构体系,实现资源数据与现网数据一致性的自动比对校验,提升资源数据管理效率,提高资源数据质量。     

基于候选项集个数上阶的增量式关联规则更新算法

提出了一种有效的增量式关联规则挖掘算法IAR,算法的特点在于:提出并采用了基于候选项集个数上阶的选择扫描数据库的机制,可有效减少数据库的扫描次数;算法是一种通用的增量式算法,提出了最小支持度和数据库均改变时,增量式挖掘中的重要性质,从而可充分利用上一次挖掘的结果,有效减少候选项集的数目.并且提出了基于组合数学和项集等价类理论的计算候选项集个数的上阶的方法.通过大量的数据实验,表明算法的效率比已有的算法有了很大提高.     

中国大油田的分布特征与发现前景

大油田在石油储量增长和产量构成中占有重要位置.截至2004年底,中国大油田的可采储量占总探明储量的77%,2004年大油田产量占全国石油产量的70%.中国大油田的储集层主要是白垩系和第三系的陆相碎屑岩,圈闭以背斜圈闭和混合圈闭为主,20世纪70年代是中国大油田发现的高峰期.中国的大油田主要分布在富油气凹陷中;凹陷的资源丰度越大,发现大油田所需的时间越短;凹陷的资源量越大,发现的大油田规模也越大.中国目前整体勘探程度比较低,未来在中西部地区和海域都可能有大油田发现.图6表1参10     

孔型设计敏捷制造系统中分布式知识库结构体系研究

智能化分布式系统是敏捷制造中网络运行的先进方式.在智能化敏捷制造中,知识库的体系结构直接影响着制造智能化的水平.应用知识和重构制是实施智能化实际应用的两个方面,当应用知识不能满足应用需要时,启动重构知识库体系会得到较新的应用知识,这就是二级知识库(浅度知识库和深度知识库)体系.敏捷制造中知识库体系的研究,可为智能化敏捷制造系统提供可实施的知识体系,使整个系统具有高度的知识化.     

基于深度学习的小口径弹药装配设备故障诊断专家系统

针对小口径弹药装配设备故障诊断智能化程度不足、诊断效率低以及误诊率高等问题,开展小口径弹药装配设备故障诊断技术和专家系统研究。为提高复杂装备故障知识推理及判别精度,研究基于知识图谱和故障树的故障类别知识库构建方法,提出基于规则和案例的故障知识推理方法,采用深度学习算法进行故障知识推理和更新,构建故障诊断模型并用于小口径弹药装配设备故障诊断专家系统。结果表明：该系统可实现对小口径弹药装配设备故障的智能预测和分析,符合制造装备智能化发展要求,为制造装备智能化、信息化的研制发展和推广应用提供参考。     

模型与知识驱动的电缆加工工艺快速设计技术

为解决航天电缆组件设计工艺数据协同效率低、工艺知识积累应用不足、工艺准备重复性工作量大且周期长等问题,提出一种模型与知识驱动的航天电缆组件加工工艺快速设计技术。分析基于MBD的电缆结构化设计信息提取、电缆结构化工艺设计知识库构建、基于知识的电缆加工工艺智能生成等关键技术;构建B/S架构的软件系统并实现型号工程应用验证。结果表明：该系统能实现电缆工艺快速设计,大幅提高电缆组件加工工艺设计效率,提升文件规范性和工艺设计过程知识化、智能化水平。     

Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients

We define the emerging research field of applied data science as the knowledge discovery process in which analytic systems are designed and evaluated to improve the daily practices of domain experts. We investigate adaptive analytic systems as a novel research perspective of the three intertwining aspects within the knowledge discovery process in healthcare: domain and data understanding for physician- and patient-centric healthcare, data preprocessing and modelling using natural language processing and (big) data analytic techniques, and model evaluation and knowledge deployment through information infrastructures. We align these knowledge discovery aspects with the design science research steps of problem investigation, treatment design, and treatment validation, respectively. We note that the adaptive component in healthcare system prototypes may translate to data-driven personalisation aspects including personalised medicine. We explore how applied data science for patient-centric healthcare can thus empower physicians and patients to more effectively and efficiently improve healthcare. We propose meta-algorithmic modelling as a solution-oriented design science research framework in alignment with the knowledge discovery process to address the three key dilemmas in the emerging “post-algorithmic era” of data science: depth versus breadth, selection versus configuration, and accuracy versus transparency.     

ESLD: An efficient and secure link discovery scheme for software‐defined networking

Software‐defined networking simplifies network management by decoupling the control plane from the data plane and centralizing it to the controller. As the brain of the network, the controller gains up‐to‐date holistic network visibility via topology discovery. However, as a key service of topology discovery, the link discovery service opens problems on efficiency and security. On the one hand, sending link discovery packets to all ports wastes not only the limited controller resources (such as CPU and memory) but also control channel bandwidth. On the other hand, attackers may use these packets to create fake links and perform link fabrication attack. Because of the centralized control paradigm, wasting controller resources may degrade network performance, and all the fake links may severely poison the network topology, even causing the denial of service or man‐in‐the‐middle attack. In this paper, we propose an efficient and secure link discovery scheme to improve link discovery performance and resist link fabrication attack caused by the software‐defined networking link discovery service. By adopting port classification technique and directionally transmitting packets to appropriate ports, our approach can reduce or eliminate redundant packets and improve link discovery performance. Meanwhile, we adopt the directional packet transmitting approach and the time‐marked hash‐based message authentication code authenticate scheme to resist the link fabrication attack. A prototype system is implemented on the basis of POX controller and Mininet simulator to evaluate our scheme. Simulation results demonstrate that our scheme can solve the link fabrication problems with less overload of both the control plane and the data plane.