行业研究报告题录
信息传输、软件和信息技术服务业(2014年第29期)
(报告加工时间:2014-11-10 -- 2014-11-16)

行业资讯

境内分析报告

境外分析报告

  • 全球停车场管理系统市场报告(2014-2018年)
    Parking is increasingly becoming an important aspect of transportation planning. Parking management can be defined as a process to reduce traffic and street congestion by providing advanced systems with automated management for all types of car parks, offering end-to-end services. Parking management system solutions help in various ways such as enhanced security, reduced operating cost, quick ROI, convenience, and smooth payment process.
  • 全球ETC系统市场报告(2014-2018年)
    An ETC system is a sophisticated application that includes a group of technologies to provide automated non-stop cashless payment of the road toll at toll plazas or toll collection centers.

中文技术报告

  • 基于信息增益的SLAM图精简
    针对基于图论的同时定位与制图中,非线性约束方程组维数随机器人运行距离和时间的增加而不断增大的问题,提出一种基于信息增益的图精简算法。该算法通过评估精简前后特征点信息矩阵相对变化,删除观测信息量小于给定阈值的机器人位姿及相应的观测,达到显著简化优化问题的目的。根据测量球形协方差矩阵假设,给出了信息增益的精确和近似计算方法。通过恢复性图剪枝方法,确保图精简过程中的连通性。蒙特卡洛仿真和开源实验数据计算结果表明,在不引入明显的优化误差前提下,该方法可实现位姿和特征点90%的精简,显著提高图优化效率。
  • 融合神经元激励机制的机器人情景学习与行为控制
    针对不确定环境下机器人行为控制的维数灾难和感知混淆问题引入神经元激励机制,提出一种情景记忆驱动的马尔可夫决策过程(EM-MDP)以实现机器人对环境经验自主学习,及多源不确定性条件下的行为控制。首先,构建情景记忆模型,并基于认知神经科学提出事件中状态神经元激活及组织机制。其次,基于自适应共振理论(ART)与稀疏分布记忆(SDM)通过Hebbian规则实现情景记忆的自主学习,采用神经元突触势能建立机器人行为控制策略,机器人能够评估过去的事件序列,预测当前状态并规划期望的行为。最后,实验结果验证,该模型框架与控制策略能够实现机器人在普遍场景中的行为控制目标。

外文技术报告

  • 用于自身可持续发展分布式可再生能源生态系统的绿色星球架构方法论
    This planet has been endowed with a host of natural mechanisms to keep the environment and climate in balance. Humans are now facing the need to restore this balance that has been upset in the past years because of a growing population and resource demands. To steer dependency away from freshwater crops and decrease environmental damage from humanity s fuel and energy demands, it is necessary to take advantage of the natural adaptive biomass resources that are already in place. Using methods of "Green Planet Architecture," based on compilations of current research and procedures, could lead to new forms of energy and fueling as well as new sources for food and feed. Green Planet Architecture involves climatic adaptive biomass; geospatial intelligence; agri- and aqua-culture life cycles; and soil, wetland, and shoreline restoration. Plants such as Salicornia, seashore mallow, castor, mangroves, and perhaps Moringa can be modified (naturally, model-assisted, or genetically) to thrive in salt water and brackish water or otherwise not arable conditions, making them potentially new crops that will not displace traditional farming. These fueling sources also have potential to be used in other rapid-growth industries, such as the aviation industry, that have incentive to move towards more sustainable fuel supplies. This report highlights an example of how synergistic development of biomass resources and geospatial intelligence high-performance computing capabilities can be focused to resolve potential drought-famine problems. These techniques provide a basis for future e-science-based discovery (and access) through technology that can be expanded to support global societal applications.

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