Shenyang Institute of Automation,Chinese Academy Of Sciences
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一种基于卫星通信的ROV远程驾驶监控方法
No full text本发明涉及一种基于卫星通信的ROV远程驾驶监控方法，包括以下步骤：母船端ROV操控台将现场视频、状态、语音以及文字进行编码，经卫星通信系统传输给陆地端ROV操控台；陆地端操控台将解码后的信息进行显示以及语音广播，同时采集陆地端操作人员的操作指令、语音以及文字信息进行编码，经卫星通信系统传输给母船端ROV操控台；母船端ROV操控台将解码后的指令映射为ROV系统的驾驶指令、参数设置命令等和机械手的动作指令。本发明简单实用，大大提升了ROV驾驶员的利用率以及减少了上船人员，并可以分时远程驾驶监控多台套ROV系统
一种基于口周肌力精准测量的肌功能训练系统及方法
No full text一种基于口周肌力精准测量的肌功能训练系统及方法，解决既往肌功能训练装置占用口腔空间影响口腔肌肉行使功能及训练效果无量化指标、训练过程中无客观标准不易坚持等问题，实现日常数字可视化口周肌力精准测量与训练。其包括：患者传感器端，患者端及医生端，其中：患者传感器端用于安装多个传感器于口腔相对应位置，检测口周肌力采集数据并完成无线传输，且可根据患者端或医生端发出的指令对患者进行语音提示，患者端或医生端的患者端具体实现方式可以是电脑软件或手机APP，含有蓝牙、WIFI数据传输功能。根据采样传输数据，结合专业医生临床诊疗，能够实时监测口周肌力训练效果、训练时间及频率，历史数据还可以帮助患者和医生更好的掌握训练情况，并进行疗效量化评估
基于黎曼空间量化的多类别运动想象脑电信号识别方法
No full text本发明涉及一种基于黎曼空间量化的多类别运动想象脑电信号识别方法，将不同运动想象任务诱发的脑电信号转换为空间协方差矩阵；将这种矩阵看作黎曼对称空间中的点，采用对数欧式距离度量点间距离；基于该距离构建黎曼空间量化方法与度量学习方法，在黎曼空间中为每一类别脑电信号样本学习若干带标签的原型，并学习样本与原型间的距离度量函数；采用赢者全拿策略，将与待识别脑电信号最近的原型的标签识别为其类别。本发明所述方法采用空间协方差作为输入特征，避免复杂的脑电信号预处理计算；是天然的多类别脑电信号识别方法，避免传统采用一对一等策略将二分类方法扩展到多分类所需要的复杂操作，有效地提升了多类别运动想象脑电信号的识别能力
A Bus-Scheduling Method Based on Multi-Sensor Data Fusion and Payment Authenticity Verification
No full textIt is of great significance to ensure public transportation management capabilities by improving urban public transport services. One method is to solve the problems related to the quality of data submitted for public funding as well as the accuracy and transparency of the supervision and review processes; moreover, improving public-transportation-service systems is a viable method to solve such problems. With technological advancements and the application of new technologies such as automatic driving and multiple payment, it has gradually become difficult for user-data verification systems, based on the original single bus payment method, to cater to these new tech-nologies. Diversified payment and complex management methods have highlighted the need for new verification methods. Firstly, in this paper, we constructed the Origin–Destination (OD) model of bus-passenger flows by using real-time transmission of passenger-multiple-payment data, on-board-video passenger flow detection data and vehicle real-time positioning data. On this basis, the bus waybill data of other intelligent bus systems and the wait data of bus stations were integrated, so as to establish the travel chain theory by matching passenger flow and the temporal and spatial distribution model. Then, an OD analysis of public-transport passenger flows could be carried out, with a detailed analysis of vehicle, station and line-passenger flow, and the travel characteristics of public transport passenger flow could be excavated. Then, according to the means-end chain theory, the spatiotemporal distribution of the passenger flow data was obtained to carry out an OD analysis of the passenger flow, so as to perform a refinement analysis of the vehicle, station, and passenger flow. Thereby, the characteristics of the passenger flow were explored. Subsequently, payment-authenticity-verification models were established for the data-validity assessment, video-data analysis, passenger-flow estimation, and early warnings in order to determine the authenticity of the payment data. Lastly, based on the multi-sensor passenger flow data fusion and the data authenticity verification models, combined with the application of new technologies such as the use of autonomous buses, the test was promoted. That is, by taking intelligent bus scheduling as the scenario, the research method was tested and verified with real-time passenger flow data according to historical data. The results showed that the method accurately predicted the passenger flow, and had a positive role in improving the efficiency of payment-data-authenticity verification. The application of the method can enhance the management and service quality of public transportation.</p
Effect of Sintering Temperature on Surface Morphology and Roughness of 3D-printed Silicon Ceramic Cores
No full textSingle crystal superalloy hollow blade is an important part of aero-engine, and its inner cavity structure is prepared by ceramic core. With the increase of thrust-weight ratio of aero-engine, the core structure is more and more complex. Traditional preparation technology is difficult to meet the requirements of complex core preparation. Stereolithography 3D printing of ceramic cores provides a feasible scheme for the preparation of complex cores. In order to improve the surface roughness of stereolithography 3D printed ceramic cores caused by step effect, this study used silicon-based core paste with solid content of 63% (in volume), and the cores of the green bodies were sintered at 1100 degrees C to 1300 degrees C. Microstructure, element distribution, phase composition, surface morphology, and roughness of the silicon-based ceramic core were analyzed. It is found that printed surface of the core is smooth without obvious surface defects. Roughness of the printed surfaces of the sintered cores at 1100, 1200 and 1300 degrees C are 1.83, 1.24 and 1.44 mu m, respectively. Their surface of lamellar stacking direction has lamellar structure characteristics, and microcracks appear between lamellar, and surface roughness of core sintered above 1200. meets the requirements (R-a <= 2.0 mu m) of hollow blade. Sintering temperatures affect the liquid content, mullite production, mullite formation morphology, and glass phase distribution of cores during the sintering process, and the surface roughness of stereolithography 3D-printed silicon ceramic cores is positively affected. Stereolithography 3D printing ceramic core technology combined with sintering process can produce a silicon-based ceramic core which surface roughness meets the requirements of an advanced hollow blade
Quality Prediction of Plasticizing and Molding Process of Single-Based Gun Propellant Based on GG-KECA-RVM Multi-Stage Model Fusion
No full textAiming at the non-linear, multi-stage and high dimension characteristics of the plasticizing and molding process of single-based gun propellant, a quality prediction method based on GG-KECA-RVM multi-stage model fusion is proposed. The method is based on Gath-Geva dynamic fuzzy clustering to identify the stages of the plasticizing and molding process. KECA is introduced for deep feature extraction in each stage, and the local latent variable regression models based on KECA-RVM are established for each sub-stage. Finally, the fuzzy membership degree of Gath-Geva clustering is used to fuse the prediction results of multiple local models, which reflects the difference and cumulative characteristics of each stage on the quality, and realizes the accurate prediction of stage quality and process endpoint quality. The experimental results of the plasticizing and molding process show the effectiveness of the proposed method
Research status and prospect of plate elements in absolute nodal coordinate formulation
No full textThe Absolute Nodal Coordinate Formulation (ANCF) is a milestone in the study of flexible multibody dynamics and is of great significance for the study of the dynamics of multi-flexible systems, of which the plate element is an important part. In this article, the construction and principles of this type of element are systematically traced, the types of elements that have been studied are summarized, and the research history of the element locking problem and extended applications in different fields are briefly described. Through the systematic summary, the shortcomings in the current research and application of the element are identified, and some suggestions for future theoretical research on the plate element are given. The functional expansion of the plate element under the conditions of constraints, materials and physical fields as well as practical engineering applications are discussed.</p
Evolving Metric Learning for Incremental and Decremental Features
No full textOnline metric learning has been widely exploited for large-scale data classification due to the low computational cost. However, amongst online practical scenarios where the features are evolving (e.g., some features are vanished and some new features are augmented), most metric learning models cannot be successfully applied to these scenarios, although they can tackle the evolving instances efficiently. To address the challenge, we develop a new online Evolving Metric Learning (EML) model for incremental and decremental features, which can handle the instance and feature evolutions simultaneously by incorporating with a smoothed Wasserstein metric distance. Specifically, our model contains two essential stages: a Transforming stage (T-stage) and a Inheriting stage (I-stage). For the T-stage, we propose to extract important information from vanished features while neglecting non-informative knowledge, and forward it into survived features by transforming them into a low-rank discriminative metric space. It further explores the intrinsic low-rank structure of heterogeneous samples to reduce the computation and memory burden especially for highly-dimensional large-scale data. For the I-stage, we inherit the metric performance of survived features from the T-stage and then expand to include the new augmented features. Moreover, a smoothed Wasserstein distance is utilized to characterize the similarity relationships among the heterogeneous and complex samples, since the evolving features are not strictly aligned in the different stages. In addition to tackling the challenges in one-shot case, we also extend our model into multi-shot scenario. After deriving an efficient optimization strategy for both T-stage and I-stage, extensive experiments on several datasets verify the superior performance of our EML model
一种疏水性低共熔溶剂及其在萃取工业含酚废水中的应用
No full text本发明属于废水处理技术领域，公开了一种疏水性低共熔溶剂及其在萃取工业含酚废水中的应用。该疏水性低共熔溶剂包括氢键受体和氢键供体，其中氢键受体为薄荷醇、月桂酸、百里酚、甜菜碱中的至少一种，氢键供体为壬酸、癸酸、月桂酸和百里酚中至少一种。氢键受体和氢键供体的的摩尔比为1:3～2:1。按配比将氢键受体与氢键供体混合并于30℃～50℃温度下搅拌5～10min，形成透明均匀液体，即得疏水性低共熔溶剂。本发明制备的疏水性低共熔溶剂常温下是液态形式，粘度小，不易挥发，流动性好，可应用于离心萃取设备或萃取塔对含酚废水进行处理，且降低萃取能耗
一种带关节角度反馈的水下电动直线缸机构
No full text本发明涉及一种带关节角度反馈的水下电动直线缸机构，包括缸体、旋转电位计、水密接插件及分别置于缸体内部的电机减速箱组件、驱动器、滚珠丝杠螺母、滚珠丝杠螺杆和推杆，滚珠丝杠螺杆转动安装于缸体内，电机减速箱组件的输入端与驱动器相连，输出端与滚珠丝杠螺杆连接，滚珠丝杠螺杆上螺纹连接有滚珠丝杠螺母，推杆的一端与滚珠丝杠螺母相连，另一端由缸体穿出，连接被驱动件，驱动被驱动件围绕关节做旋转运动；旋转电位计置于缸体外部，通过油管与缸体连接，旋转电位计及驱动器分别与水密接插件连接，被驱动件在由推杆带动做旋转运动过程中通过旋转电位计检测旋转角度。本发明具有结构紧凑、功能齐全、故障率低、充油补偿可全海深工作等优点