STUDY ON THE COAL-ROCK INTERFACE RECOGNITION METHOD BASED ON MULTI-SENSOR DATA FUSION TECHNIQUE

The coal-rock interface recognition method based on multi-sensor data fusiontechnique is put forward because of the localization of single type sensor recognition method. Themeasuring theory based on multi-sensor data fusion technique is analyzed, and hereby the testplatform of recognition system is manufactured. The advantage of data fusion with the fuzzy neuralnetwork (FNN) technique has been probed. The two-level FNN is constructed and data fusion is carriedout. The experiments show that in various conditions the method can always acquire a much higherrecognition rate than normal ones.

Individualization of Data-Segment-Related Parameters for Improvement of EEG Signal Classification in Brain-Computer Interface

In electroencephalogram (EEG) modeling techniques, data segment selection is the first and still an important step. The influence of a set of data-segment-related parameters on feature extraction and classification in an EEG-based brain-computer interface (BCI) was studied. An auto search algorithm was developed to study four datasegment-related parameters in each trial of 12 subjects’ EEG. The length of data segment (LDS), the start position of data (SPD) segment, AR order, and number of trials (NT) were used to build the model. The study showed that, compared with the classification ratio (CR) without parameter selection, the CR was increased by 20% to 30% with proper selection of these data-segment-related parameters, and the optimum parameter values were subject-dependent. This suggests that the data-segment-related parameters should be individualized when building models for BCI.

面向半导体设备的Interface A通信方法研究

针对半导体设备工厂自动化的设备数据采集需求,给出了一种基于Interface A标准的通信方法,该方法构造了设备的通用模型,设计了设备通信的安全认证和授权机制,并给出了采集设备实时数据的方法,可满足工厂自动化系统对半导体设备的数据采集和设备控制需求。

Research in Control Systems, Sensor Fusion, and Haptic Interfaces

Research in control systems, sensor fusion and haptic interfaces is reviewed.

Data Conversion Among Different Databases Under an Integrated Network Environment

Method for data conversion of heterogeneous DBMS's in the integrated network environment is introduced. The technical approach used can perform data conversion of heterogeneous databases located on different nodes of the network, such as Oracle, Sybase, Informix, MS SQL Server, SQL Anywhere and Foxpro. The conversion system adopts the Client/Server architecture and provides visual integrated interface for users.

贴片机设备中CAD-CAM数据接口的设计和实现

本文设计了一种CAD-CAM数据接口,用于实现贴片机贴装数据的自动提取和转换。该CAD-CAM数据接口以ProtelPCB文件为源文件,通过分析PCB文件中元件信息的数据结构和数据格式,从中提取和转换得到贴片机所需的生产数据。实践证明该方法极大提高了贴片机的生产效率。

面向Data-Path布图应用的注册式GUI设计

提出了一种基于工作站、UNIX操作系统,采用C++语言、Tcl/Tk语言及Gu库实现图形用户界面(GUI)的新方法。文章重点介绍了所采用的注册机制。与其他的设计方法相比,该GUI的设计具有良好的适用性和可维护性;同时,又有易实现性,省去了设计者了解底层布图算法内容的繁琐过程。测试结果表明该GUI实现了预期的功能。目前,该GUI已应用到在研的Data-Path布图项目之中。

Visual Composition of Complex Queries on an Integrative Genomic and Proteomic Data Warehouse

Biomedical questions are usually complex and regard several different life science aspects. Numerous valuable and he- terogeneous data are increasingly available to answer such questions. Yet, they are dispersedly stored and difficult to be queried comprehensively. We created a Genomic and Proteomic Data Warehouse (GPDW) that integrates data provided by some of the main bioinformatics databases. It adopts a modular integrated data schema and several metadata to describe the integrated data, their sources and their location in the GPDW. Here, we present the Web application that we developed to enable any user to easily compose queries, although complex, on all data integrated in the GPDW. It is publicly available at http://www.bioinformatics.dei.polimi.it/GPKB/. Through a visual interface, the user is only required to select the types of data to be included in the query and the conditions on their values to be retrieved. Then, the Web application leverages the metadata and modular schema of the GPDW to automatically compose an efficient SQL query, run it on the GPDW and show the extracted requested data, enriched with links to external data sources. Performed tests demonstrated efficiency and usability of the developed Web application, and showed its and GPDW relevance in supporting answering biomedical questions, also difficult.

Data-collection system for high-throughput X-ray absorption fine structure measurements

A new X-ray absorption fine structure(XAFS)data-collection system based on the Experimental Physics and Industrial Control System software environment has been established at the BL14W1 beamline of the Shanghai Synchrotron Radiation Facility. The system provides for automatic sequential analysis of multiple samples for continuous high-throughput(HT) measurements. Specifically, 8 sample pellets are loaded into an alumina holder,and a high-precision two-dimensional translation stage is programmed to switch these samples automatically for collecting the XAFS spectrum of each sample in sequence.Experimenters implement HT measurements via a graphical user interface developed with Control System Studio.Finally, the successful operation of the HT XAFS system is demonstrated by running experiments on two groups of copper–ceria catalysts, each of which contains 8 different powder samples.

A MATLAB-Based Numerical and GUI Implementation of Cross-Gradients Joint Inversion of Gravity and Magnetic Data

The cross-gradients joint inversion technique has been applied to multiple geophysical data with a significant improvement on compatibility, but its numerical implementation for practical use is rarely discussed in the literature. We present a MATLAB-based three-dimensional cross-gradients joint inversion program with application to gravity and magnetic data. The input and output information was examined with care to create a rational, independent design of a graphical user interface (GUI) and computing kernel. For 3D visualization and data file operations, UBC-GIF tools are invoked using a series of I/O functions. Some key issues regarding the iterative joint inversion algorithm are also discussed: for instance, the forward difference of cross gradients, and matrix pseudo inverse computation. A synthetic example is employed to illustrate the whole process. Joint and separate inversions can be performed flexibly by switching the inversion mode. The resulting density model and susceptibility model demonstrate the correctness of the proposed program.

人工智能驱动新型界面分离材料的创制

计算机技术与人工智能的发展给新材料的开发带来了新的研究范式(第四代),也为新型界面分离材料的创制带来新的发展契机。然而,受界面分离过程机理研究和材料、基团的理化数据的局限性,人工智能在新型界面分离材料的创制中的应用仍处于初期阶段。本文为解决特定体系数据缺失的问题,构建了百万级(10^(6))的样板数据库,为大预测模型与生成模型提供了可靠、规范的示范数据基础;通过从大数据中挖掘分子结构与性质的隐藏关联,并借助分子模拟计算剖析其分子间相互作用机理,解析分子间相互作用机制和重组过程规律,进而实现高性能界面分离材料的构筑。最后,本文浅析了介尺度样板大数据、机器学习势理论、国产软件开发、有机合成、智能算法等多学科交叉在界面分离材料创制中的重要影响与发展机遇,以期推动虚拟实验室前沿发展。

基于机器学习对呼吸机报警分析

目的 探讨应用机器学习方法对呼吸机在临床使用中的通气类报警进行研究,获得影响报警的重要参数及报警预测模型,识别无效报警并给予临床提示,使临床得以高效应对呼吸机报警,避免造成报警疲劳等消极影响。方法 建立符合标准数据流程的呼吸机数据管理平台,根据单中心的呼吸机报警信息分析特征值,得出重要参数排序;利用超参数调优建模预测报警的真假;用混淆矩阵、受试者工作特征(Receiver Operating Characteristic,ROC)对机器学习模型进行多项指标验证。结果 对测试集5936次通气类报警进行评估,得出无效报警率为88%(召回率为0.88),模型准确度为0.94,精准度为0.78,ROC曲线下面积为0.92,F1得分为0.82。结论 采用机器学习便于临床单中心数据建模,能够及时分析获得呼吸机真实警报的重要参数及报警预测;通过呼吸机数据管理平台可有效提示临床无效报警,从而减少医护人员的压力,提高医疗质量。

基于通道组合-数据对齐-多尺度全局CNN的MI-EEG分类

由于运动想象脑机接口(MI-BCI)范式不需要视觉刺激,应用MI-BCI范式在提高人机交互系统舒适度方面具有重要意义。为实现辅助设备的异步控制,提高模型的鲁棒性,减少通道使用数量以降低BCI系统输入的复杂性,提出一种基于通道组合(channel combination,CC)-数据对齐(euclidean space data alignment,EA)-多尺度全局卷积神经网络(multiscale global convolutional neural network,MGCNN)的运动想象脑电分类方法。通过引入大脑静息状态下的脑电信号,扩展MI-BCI输出指令集;利用CC将22通道脑电数据重构为左右对称通道加中间通道的3通道形式,重构后的数据经过EA方法规范后作为网络输入;构建多尺度卷积模块与全局卷积模块,并行提取脑电信号的局部特征和ERS/ERD全局特征;利用迁移学习提升模型的解码能力。结果表明:该方法在BCI Competition IV 2a数据集上达到了99.28%的平均准确率和0.99的Kappa值,提高了运动想象脑电分类精度,为在线异步运动想象脑机接口的应用与发展作出了贡献。

智能数字化技术联合质量控制指标体系管理模式在大型医用影像设备管理中的价值评估

目的:评估智能数字化技术联合质量控制指标体系管理模式在大型医用影像设备管理中的应用效果。方法:依据医用影像设备组成形态和运行情况,将智能数字化技术联合质量控制指标体系架构于一体,发挥联合管理机制作用对大型医用影像设备进行管理。选取2022年至2023年武汉市第一医院临床在用的26台医用影像设备,按照设备管理方法不同分别采用常规管理方法(13台)和智能数字化技术联合质量控制指标体系模式(简称智能模式)进行管理(13台)。对比两种管理方法的医用影像设备临床使用效果、管理质量、管理水平和参与使用管理人员的认可度评分。结果:采用智能模式管理的设备平均开机率、运转率和周转率分别为(90.56±4.69)%、(12.36±2.45)%、(15.69±3.65)%,均高于常规管理方法,差异有统计学意义(t=13.366、15.637、9.082,P<0.05);采用智能模式管理的设备临床操作、信息数据、质量控制和维护维修平均评分分别为(93.65±4.21)、(94.65±4.36)、(95.36±6.56)和(94.26±5.63)分,亦均高于常规管理方法,差异有统计学意义(t=7.794、6.818、6.918、10.136,P<0.05);采用智能模式管理的设备合理放置率、规范记录率和设备完好率分别为76.92%(10/13)、84.61%(11/13)和84.61%(11/13),均高于常规管理方法,差异有统计学意义(x2=8.714、12.462、9.905,P<0.05);参与设备管理和使用的工程师、操作人员、医护人员和相关科室管理者对采用智能模式管理的设备管理认可度评分分别为(93.54±3.65)、(92.58±4.58)、(90.78±3.14)和(92.65±3.41)分,均高于常规管理方法,差异有统计学意义(t=3.333、4.142、6.424、7.278,P<0.05)。结论:智能数字化技术联合质量控制指标体系管理模式应用于大型医用影像设备管理,能够改善设备临床使用质量,提高设备技术保障能力,降低设备故障率。

《废旧电器电子产品逆向物流信息追溯数据交换应用规范》标准研制

围绕研制《废旧电器电子产品逆向物流信息追溯数据交换应用规范》(TCRRA 1311-2023)团体标准,本文针对废旧电器电子产品回收处理现状,分析企业庞大异构系统与异构数据源导致逆向物流信息追溯中面临的数据交换困难的问题,通过调研我国追溯系统数据交换标准体系的相关标准建设情况,以此为基础提出了废旧电器电子产品逆向物流信息追溯数据结构模型、数据元模型和数据交换接口等关键概念与技术。该标准颁布实施对促进废旧电器电子产品回收处理行业的发展,提高追溯系统的效率和可靠性具有重要意义。

移动应用服务UI界面复杂数据显示系统设计

针对传统数据显示系统存在数据显示延时较长、运行费用较高以及安全性较低等问题,设计并提出一种移动应用服务UI界面复杂数据显示系统。系统的硬件部分采用B/S模式进行设计,主要由缓冲模块、存储模块、显示模块以及警报模块组成。同时结合用户需求,组建用户友好界面模型,通过模型进行移动应用服务UI界面复杂数据在界面视觉层中的设计重构,以有效显示UI界面复杂数据。仿真实验结果表明,所设计系统能够有效降低显示延时以及运行费用,提升系统的安全性。

物探生产数据开放服务平台的研发与应用

随着智能化地震队一系列软件推广应用,当前物探各工序实时生产数据得到了及时有效采集,并且存储在稳定可靠的存储媒介中。这些生产数据目前也有很多需求方,如终端导航、生产指挥、质量控制方面等。如何将存储的数据面向数据需求有效地组织利用起来,成为当前亟待解决的问题。本文介绍一种物探生产数据开放服务平台,将数据以标准化接口服务方式开放,面向第三方开发者提供统一标准、统一流程的数据接口服务。从而将存储的数据面向数据需求有效的组织利用起来,打破信息孤岛,满足当前第三方应用对物探生产数据共建共享的需求。

企业基础信息设备的运行风险控制和具体应用

通过Zabbix监控系统,运维人员可以集中监控机房各类设备和系统软件的运行情况。一旦出現异常指标,运维人员可以及时进行针对性处理,大幅提高了运维效率。Zabbix监控系统还具备定制化设置监控项和数据可视化模板的功能,对特定需求有更好的针对性和扩展性。通过有效监控运雏中的凤险项,Zabbix监控系統为企业的科研和生产提供了强大的保障。

离散制造生产线可配置数字孪生数据系统设计

数据系统为数字孪生系统的运行提供了高效、稳定的数据支撑。为解决目前数据系统在构建过程中存在的数据元描述异构、数据系统更新维护困难、数据交互接口多样等问题,提出一种基于可配置思想的数字孪生数据系统柔性构建方法,包括3项关键技术:生产数据规范化建模、数据系统的柔性配置生成和重构,以及数据系统交互接口设计。最后,以某活塞生产线为实例进行了数字孪生数据系统的实现,验证了所提方法的正确性和有效性,为离散制造过程中,数字孪生数据系统的实现提供了技术解决方案。