A Review of the Status and Development Strategies of Computer Science and Technology Under the Background of Big Data

This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.

Research and realization of visual digital ocean system

Sphere model is the research hotspot in the GIS domain presently. It has become a strong integrated platform of spatial information with its strong abilities of spatial data management and visualization. Based on Skyline software, this paper introduces the framework, functions and technical method of realization of visual digital ocean system. The practice proves that the system has a good future in marine information visualization and sharing.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

Image Post-Processing Method for Visual Data Mining

Visual data mining is one of important approach of data mining techniques. Most of them are based on computer graphic techniques but few of them exploit image-processing techniques. This paper proposes an image processing method, named RNAM （resemble neighborhood averaging method）, to facilitate visual data mining, which is used to post-process the data mining result-image and help users to discover significant features and useful patterns effectively. The experiments show that the method is intuitive, easily-understanding and effectiveness. It provides a new approach for visual data mining.

电性源短偏移距瞬变电磁法数据处理软件系统SOTEMsoft

目前,已有瞬变电磁法(TEM)数据处理软件大都仅针对回线源装置,无法处理电性源装置数据。随着电性源短偏移距瞬变电磁法(SOTEM)的广泛推广应用,亟需开发一套适合电性源短偏移距瞬变电磁法装置特点的数据处理软件。通过解决任意收发装置形式一维正演、多分量多源数据联合反演、考虑激发极化效应数据反演、拟二维横向约束反演等关键技术,研发了电性源短偏移距瞬变电磁法数据处理专用软件系统SOTEMsoft。该系统具备数据整理、图像显示、数据预处理、模型构建、正演模拟、数据反演、工程出图等功能。数值模拟和野外实测数据处理效果表明,SOTEMsoft功能完备,数据处理精度和效率较高,满足野外实际生产需求。

Three-dimensional visualization interactive system for digital twin workshop

To improve the human-physical-virtual coordination and integration of the digital twin workshop,3D visual monitoring and human-computer interaction of the digital twin workshop was studied.First,a novel 6D model of the 3D visualization interactive system for digital twin workshops is proposed.As the traditional 5D digital twin model ignores the importance of human-computer interaction,a new dimension of the user terminal was added.A hierarchical real-time data-driven mapping model for the workshop production process is then proposed.Moreover,a real-time data acquisition method for the industrial Internet of things is proposed based on OPC UA(object linking and embedding for process control unified architecture).Based on the 6D model of the system,the process of creating a 3D visualization virtual environment based on virtual reality is introduced,in addition to a data-driven process based on the data management cloud platform.Finally,the 6D model of the system was confirmed using the blade rotor test workshop as the object,and a 3D visualization interactive system is developed.The results show that the system is more transparent,real-time,data-driven and more efficient,as well as promotes the coordination and integration of human-physical-virtual,which has practical significance for developing digital twin workshops.

Computer Management of Quantitative Analysis Chemistry Experiment

The application of computer in the quantitative analysis chemistry experiment is a chemistry experiment teaching applications software, developed by Visual Basic （6.0）, based on the content of quantitative analysis chemistry experiment of chemistry major in higher institute. This software has the function of the automatic processing the experimental data, the automatic generation of test report copies, and the automatic evaluation of students＇ experimental results, which solve the reliability, objectivity and accuracy problems of the students＇ experiment data processing and evaluation, and avoid interference with human factors. The software has the characteristic of the easy installation, the easy operation, the strong practicability, pertinence, the systematicness and the running stability, so it provides a platform in the quantitative analysis chemistry experiment for the students＇ assessment system of automatic processing, and it has a high popularization value. The project＇s technical route design is reasonable, the research method is correct, and the experimental data processing results are reliable, which has reached the leading domestic level in the quantitative analysis chemistry experiment teaching field of computer data processing. And this project has been through the achievements appraisal of Gansu Provincial Sci. ＆ Tech. Department.

基于Android的智能温室控制与实现

针对我国普遍缺水的现状以及北方地区日光温室种植面积的逐年扩大,提出了一种结合C/S和B/S模式的智能温室监测与控制系统。系统将传感器、执行器与发送单元进行融合,实现将敷设在田间的土壤湿度传感器、温度传感器采集到的数据、水泵转速、工作时间等数据的实时收发。移动终端对接收到的数据进行分析、归类和处理,实现了农田数据的远距离传输和智能化处理。在实验室进行传感器、移动终端与无线模块连接通讯、数据接收、远程控制的试验取得了理想效果。

Construction and visualization of high-resolution three-dimensional anatomical structure datasets for Chinese digital human

The objective of the China Digital Human Project (CDH) is to digitize and visualize the anatomical structures of human body. In the project, a database with information of morphology, physical charac-teristics and physiological function will be constructed. The raw data of CDH which was completed in the Southern Medical University is employed. In Huazhong University of Science and Technology (HUST), the frozen section images are preprocessed, segmented, labeled in accordance with the major organs and tissues of human beings, and reconstructed into three-dimensional (3D) models in parallel on high performance computing clusters (HPC). Some visualization software for 2D atlas and 3D mod-els are developed based on the new dataset with high resolution (0.1mm×0.1mm×0.2mm). In order to share, release and popularize the above work, a website (www.vch.org.cn) is online. The dataset is one of the most important parts in the national information database and the medical infrastructure.

Development of a component-based interactive visualization system for the analysis of ocean data

With the continuous development of various types of fixed marine observation equipment,satellite remote sensing technology and computer simulation technology,modern marine scientific research has entered the era of big data.Interactive ocean visuali-zation has become ubiquitous owing to the use of ocean data in studies of marine disasters,global climate change and fisheries.However,the primary challenge in analyzing large amounts of ocean data originates from the complexity of the data themselves.Therefore,an interactive multi-scale,multivariate visualization sys-tem with dynamic expansion potential is needed for analyzing larger volumes of ocean data.In this study,a unified visual data service was constructed,and a component-based interactive visua-lization structure for multi-dimensional,spatiotemporal ocean data is presented in this paper.Based on this structure,users can easily customize the system to visualize other types of scientific data.

Recent Advances in Marine Geodesy of China

The ocean accounts for approximately 71%of the total area of the Earth.Whether it is studying the shape of the Earth itself through geodesy or the future development of earth system science,strengthening the construction of ocean geodesy disciplines and innovating ocean geodetic observation technologies have evident theoretical and practical significance.In recent years,the discipline of ocean geodesy in China has been continuously developing and growing,and notable breakthroughs have been made in ocean satellite geodesy and seafloor geodetic observation technology.Research on ocean geodetic observation models and algorithms has also made great progress.

A Radar Visualization System Upgrade

This work develops a system to visualize the information for radar systems interfaces. It is a flexible, portable software system that allows to be used for radars that have different technologies and that is able to be adapted to the specific needs of each application domain in an efficient way. Replacing the visualization and processing units on existing radar platforms by this new system, a practical and inexpensive improvement is achieved.

Discrete Event Simulation-Based Evaluation of a Single-Lane Synchronized Dual-Traffic Light Intersections

This research involved an exploratory evaluation of the dynamics of vehicular traffic on a road network across two traffic light-controlled junctions. The study uses the case study of a one-kilometer road system modelled on Anylogic version 8.8.4. Anylogic is a multi-paradigm simulation tool that supports three main simulation methodologies: discrete event simulation, agent-based modeling, and system dynamics modeling. The system is used to evaluate the implication of stochastic time-based vehicle variables on the general efficiency of road use. Road use efficiency as reflected in this model is based on the percentage of entry vehicles to exit the model within a one-hour simulation period. The study deduced that for the model under review, an increase in entry point time delay has a domineering influence on the efficiency of road use far beyond any other consideration. This study therefore presents a novel approach that leverages Discrete Events Simulation to facilitate efficient road management with a focus on optimum road use efficiency. The study also determined that the inclusion of appropriate random parameters to reflect road use activities at critical event points in a simulation can help in the effective representation of authentic traffic models. The Anylogic simulation software leverages the Classic DEVS and Parallel DEVS formalisms to achieve these objectives.

OBSOffice软件在OBN采集技术中的开发与应用

随着OBN采集技术的不断发展,对相应导航软件也提出了新要求。本文基于最近几个采用东方地球物理公司自主导航软件Dolphin系统的OBN项目,完善升级了自主研发导航数据处理软件OBSOffice,丰富了其在配套使用Dolphin综合导航系统的OBN项目中的导航数据处理功能,进一步满足了国内外甲方对于OBN采集技术中导航资料的质控要求。

国家高性能计算环境运行状态诊断系统

【目的】本文介绍了一种在大规模分布式运行环境中建立运行状态诊断系统的方法。【应用背景】为保障高性能计算环境的稳定运行,分析日志等环境数据是一种获取环境状态侧写和发现异常的重要途经。然而分析结果通常是文本和数字,对运维人员来讲缺乏直观印象,不利于快速理解。【方法】我们建设了国家高性能计算环境运行状态诊断系统,它是一种对于目标计算环境的运行状态进行量化和可视化评判的系统,通过对于目标环境的信息收集、整理,进行不同角度的分项分析。【结果】各分析结果被集成为统一的环境运行状态分值,并采用可视化方法将其立体地表现出来,以便相关运维人员能够直观地获取环境信息和快速定位问题。【结论】整个环节绝大部分处理分析工作是由程序自动完成,环境运行状态诊断系统极大减少了人工操作量,为运维工作起到有效的支撑作用。

用于VSLAM系统的CNN在FPGA平台上的加速

为实现视觉同步定位与建图系统中卷积神经网络在FPGA上的加速,基于SuperPoint模型设计一种低功耗高效CNN加速器及相应的SoC系统。采用循环分块、数据复用、计算单元展开和双缓冲策略充分利用加速器的片上资源;为提高突发传输效率,预先对权重参数重排;提出Pack模块和Unpack模块,设计多通道数据传输,用于提高传输带宽。在Ultra96-V2 FPGA平台上部署整个SoC系统,在仅3 W左右的功耗下实现25.63 GOPS的吞吐量,其BRAM效率、DSP效率、性能密度和功耗效率相比之前的文献有明显优势。

南海洋脊跃迁的深地震探测数据分析

洋脊跃迁事件是海底扩张阶段受强烈构造和岩浆作用的普遍现象,地球物理资料表明洋脊跃迁事件存在于南海多期次海底扩张过程中,然而关于洋脊跃迁的深部速度结构特征尚不清楚.2021年国家自然科学基金共享航次实施了深地震探测测线OBS2021-1,该测线横穿南海东部次海盆洋脊跃迁(J3)区域.本文介绍了该测线数据的采集情况,完成了导航文件(Ukooa文件)的制作、原始数据的格式转换、炮点位置和海底地震仪(OBS)位置校正的前期数据处理工作.结果表明,OBS2021-1测线数据质量良好,经过炮点和OBS位置校正后,OBS综合地震记录剖面可识别出多组清晰的P波震相,包括Pw、Pg、PmP以及Pn震相.根据同船采集的多道地震处理解释和国际大洋发现计划(IODP)钻探数据,建立了沿测线的初始速度模型.使用RayInvr软件初步获得了OBS2021-1测线下方的正演速度结构模型,识别洋脊跃迁的深部速度结构特征.数据处理结果表明南海洋脊跃迁的地壳厚度增厚,在多道地震剖面上存在渐新世地层的缺失,为进一步研究南海洋脊跃迁过程与构建南海形成演化历史奠定了研究基础.

AI智能图像处理在视觉传达设计中的挑战与对策

文章主要研究人工智能(Artificial Intelligence,AI)图像处理在视觉传达设计中所面临的挑战与对策。针对数据隐私与安全性、信息准确性与可信度、人机交互与用户体验等方面的问题,提出一系列解决方案。对于数据隐私与安全性,强调加密技术和权限管理的重要性;针对信息准确性与可信度,强调优化算法和建立可靠验证机制的必要性;在人机交互与用户体验方面,强调用户中心设计和透明沟通的重要性。这些解决方案旨在提高AI智能图像处理系统的性能,确保数据安全,提高处理精度,优化用户体验。

海洋数据可视化软件ODV和JOA及其在海洋地球化学研究中的新应用

气候和生物地球化学循环作为海洋科学研究的重要领域,充分利用和深入挖掘海洋地球化学数据的需求日益增长。由于对海洋大规模直接观测难度较高,且海洋内部结构复杂、相互作用过程多样,通过研究数据解译海洋地球化学过程机制和海洋在生物地球化学循环中的作用往往需要对多种海洋物理和化学参数进行协同分析。海洋数据可视化软件作为高质量呈现数据视图的媒介,具备分析、处理、可视化数据的强大功能,可作为直观研究海洋学数据的有力工具。目前,国内关于海洋数据可视化软件的介绍多侧重原理,缺乏关于具体操作方面的指导。本文详细介绍了Ocean Data View(ODV)和Java OceanAtlas(JOA)的基本操作及数据可视化流程,对断面图、平面图、瀑布图等多类图式的绘制和数据分析方法进行说明,并对比这两种软件的差别;通过实例介绍ODV的开发功能在处理和可视化数据方面的优势及其在海洋地球化学等研究领域的具体应用,以期为海洋地球化学领域的科研人员提供参考和帮助。

基于深度学习的输电线路巡检无人机图像分类方法

由于点云数据的不规则性,对点云数据特征值的分类精度很难达到输电线路巡检要求。为此,提出基于图信号处理的激光雷达点云分类方法。该方法在处理不规则的输电线路图像信号时,可直接从原始点数据中生成特征值,从而提高分类精度。为了验证所提出方法的有效性,采取实物仿真的方式对算法进行验证,结果表明图像中的分类精度可达到90%。