Shenyang Institute of Automation,Chinese Academy Of Sciences
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Recurrent Generative Adversarial Network for Face Completion
No full textMost recently-proposed face completion algorithms use high-level features extracted from convolutional neural networks (CNNs) to recover semantic texture content. Although the completed face is natural-looking, the synthesized content still lacks lots of high-frequency details, since the high-level features cannot supply sufficient spatial information for details recovery. To tackle this limitation, in this paper, we propose a Recurrent Generative Adversarial Network (RGAN) for face completion. Unlike previous algorithms, RGAN can take full advantage of multi-level features, and further provide advanced representations from multiple perspectives, which can well restore spatial information and details in face completion. Specifically, our RGAN model is composed of a CompletionNet and a DisctiminationNet, where the CompletionNet consists of two deep CNNs and a recurrent neural network (RNN). The first deep CNN is presented to learn the internal regulations of a masked image and represent it with multi-level features. The RNN model then exploits the relationships among the multi-level features and transfers these features in another domain, which can be used to complete the face image. Benefiting from bidirectional short links, another CNN is used to fuse multi-level features transferred from RNN and reconstruct the face image in different scales. Meanwhile, two context discrimination networks in the DisctiminationNet are adopted to ensure the completed image consistency globally and locally. Experimental results on benchmark datasets demonstrate qualitatively and quantitatively that our model performs better than the state-of-the-art face completion models, and simultaneously generates realistic image content and high-frequency details. The code will be released available soon.</p
一种水下机器人用北斗通信与定位系统
No full text本发明公开一种水下机器人用北斗通信与定位系统，该系统由北斗定位通信终端与岸基船基中心组成，其中定位通信终端基于自主知识产权的北斗RD/RN核心芯片提供高可靠北斗定位和通信功能，具有小型化、低功耗等特点。岸基中心由北斗通信基站和北斗通信阵列组成。北斗通信基站控制北斗通信阵列与各终端进行数据通信，并通过网络或串口等对外提供标准化服务接口。该系统可建立多个北斗定位通信终端与中心之间的RDSS可靠数据通信链路，将多套水下机器人的观测及定位数据实时发送至岸基船基监控中心，从而实现海洋观测装备通信定位国产可控
Linkage wearable sixteen-degree-of-freedom driving end mechanical arm
No full text本发明涉及机器人领域，具体地说是一种联动可穿戴十六自由度主动端机械臂，包括支座、腰部组件、躯干座、肩部组件和手臂组件，其中腰部组件能够实现转动和俯仰两个自由度，肩部组件能够实现外展内收、外旋内旋、前屈后伸三个自由度，左右两个肩部组件总共实现六个自由度，手臂组件能够实现肘的前屈后伸、前臂的内旋外旋、腕部的尺屈挠屈，腕部的掌屈背屈四个自由度，左右手臂共计八个自由度，并且各个转动关节内均设有动作信息传感组件。本发明操作自由度大大增加，并且可根据每个关节转过的角度感应出操作员腰部、肩部、腕部、前臂、腕部不同的位置，再将位置信息发送到仿生机器人副臂上，使仿生机器人副臂做出相应的动作，控制更加精准
一种基于水下滑翔机的自噪声测量方法
No full text本发明涉及噪声测量领域，具体说是一种基于水下滑翔机的自噪声测量方法。本发明将水下滑翔机电控系统、声学数据采集系统以及单通道水听器进行集成，组成水下滑翔机的自噪声测量系统。将单通道水听器放置于艉部流线型的导流罩中进行机械噪声数据的接收，艉部舱段集成声学数据采集系统将接受到的数据添加时间标签并进行存储，利用消声水池对平台的机械噪声进行更加有效的提取研究。该方法对其自噪声进行有效的测量和分析，不仅是保证滑翔机进行海洋观测的前提，而且还可用于指导滑翔机减振降噪措施的正确实施与辅助水下噪声系统的声学设计和噪声预报
精准多角度锁紧机构
No full text本实用新型涉及机械运动方面的锁紧机构，具体地说是一种精准多角度锁紧机构，包括驱动装置、锁紧装置、角度控制装置和机构外壳，驱动装置安装在锁紧装置上，用以驱动锁紧装置；锁紧装置和角度控制装置分别安装在机构外壳上，锁紧装置包括锁紧壳体、蜗杆、蜗杆轴、蜗轮及锁紧轴，从动带轮、蜗杆、蜗杆轴、蜗轮、锁紧轴固定在锁紧壳体上，在驱动装置的作用下，带动蜗轮转动，达到调节锁紧轴角度的目的；角度控制装置包括锁紧轴抱闸及角度传感器，锁紧轴抱闸用于在断电状态下对锁紧轴锁死，锁紧轴不发生偏移，角度传感器用于实时检测锁紧轴的角度位置，达到精确锁紧的目标。本实用新型具有结构轻量化、模块化、锁紧精度高，易于安装、操控精准的特点
Research on Soft Measurement Model of Extraction of Lithium Rate Based on Neural Network
No full text在锂萃取实验实现自动化控制基础上,针对锂萃取率目前不能在线测量的问题,分别采用RBF神经网络和小波神经网络对锂萃取率软测量模型展开研究。先从锂萃取实验获取基础实验数据,再把实验数据分为训练和预测数据,分别采用RBF神经网络和小波神经网络,对锂萃取率软测量模型进行了多输入单输出和多输入多输出模型试验。试验表明,小波神经网络比RBF神经网络,具有较好的泛化能力,建立了多输入单输出和多输入多输出锂萃取率软测量模型。</p
Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults
No full textThis article concentrates upon the problem of practical fixed-time consensus for second-order nonlinear multiagent systems (MASs) under directed communication topology. The convergence time is independent of the initial condition. Both loss of effectiveness and bias fault are taken into account. Meanwhile, fuzzy-logic systems are introduced to approximate the unknown nonlinear functions. By the adding-a-power-integrator method, a distributed fuzzy adaptive practical fixed-time fault-tolerant control scheme is proposed. Then, the leader can be tracked in a settling time, and the consensus tracking errors converge to an adjustable neighborhood of the origin. Finally, two simulations are given to further illustrate the effectiveness of the theoretical result.</p
iCmSC: Incomplete Cross-Modal Subspace Clustering
No full textCross-modal clustering aims to cluster the high-similar cross-modal data into one group while separating the dissimilar data. Despite the promising cross-modal methods have developed in recent years, existing state-of-the-arts cannot effectively capture the correlations between cross-modal data when encountering with incomplete cross-modal data, which can gravely degrade the clustering performance. To well tackle the above scenario, we propose a novel incomplete cross-modal clustering method that integrates canonical correlation analysis and exclusive representation, named incomplete Cross-modal Subspace Clustering (i.e., iCmSC). To learn a consistent subspace representation among incomplete cross-modal data, we maximize the intrinsic correlations among different modalities by deep canonical correlation analysis (DCCA), while an exclusive self-expression layer is proposed after the output layers of DCCA. We exploit a l(1,2)-norm regularization in the learned subspace to make the learned representation more discriminative, which makes samples between different clusters mutually exclusive and samples among the same cluster attractive to each other. Meanwhile, the decoding networks are employed to reconstruct the feature representation, and further preserve the structural information among the original cross-modal data. To the end, we demonstrate the effectiveness of the proposed iCmSC via extensive experiments, which can justify that iCmSC achieves consistently large improvement compared with the state-of-thearts
A Novel Evolution Strategy of Level Set Method for the Segmentation of Overlapping Cervical Cells
No full textDevelopment of an accurate and automated algorithm to completely segment cervical cells in Pap images is still one of the most challenging tasks. The main reasons are the presence of overlapping cells and the lack of guiding mechanism for the convergence of ill-defined contours to the actual cytoplasm boundaries. In this paper, we propose a novel method to address these problems based on level set method (LSM). Firstly, we proposed a morphological scaling-based topology filter (MSTF) and derived a new mathematical toolbox about vector calculus for evolution of level set function (LSF). Secondly, we combine MSTF and the mathematical toolbox into a multifunctional filtering algorithm 2D codimension two-object level set method (DCTLSM) to split touching cells. The DCTLSM can morphologically scale up and down the contour while keeping part of the contour points fixed. Thirdly, we design a contour scanning strategy as the evolution method of LSF to segment overlapping cells. In this strategy, a cutting line can be detected by morphologically scaling the union LSF of the pairs of cells. Then, we used this cutting line to construct a velocity field with an effective guiding mechanism for attracting and repelling LSF. The performance of the proposed algorithm was evaluated quantitatively and qualitatively on the ISBI-2014 dataset. The experimental results demonstrated that the proposed method is capable of fully segmenting cervical cells with superior segmentation accuracy compared with recent peer works
Research progress of non-oxide crystals applied in long-wave infrared sources
No full text中红外波段包括3～5μm中波红外和8～12μm长波红外2个重要大气窗口,在国防、激光通信、环境监测以及医疗诊断等诸多领域有着广阔的应用前景。高性能的相干光源是上述应用领域发展的基础。非线性光学频率变换技术是实现相干中红外高效输出的一种有利方法,非线性晶体是这类光源的核心部件。非氧化物晶体对5μm以上波段具有较高的透射率和较高的非线性系数等优点,是中红外光源的重要增益介质。总结了基于非氧化物晶体的中红外相干光源(特别是5μm以上的长波红外光源)的研究现状,比较了不同种类非氧化物晶体的优缺点和应用发展潜力,有利于为长波红外光源性能的优化和改进提供设计方案,并对基于非线性频率变换方法的中红外光源的未来发展前景做了展望。</p