Digital Watermark-based Security Technology for Geo-spatial Graphics Data

The paper presents a set of techniques of digital watermarking by which copyright and user rights messages are hidden into geo-spatial graphics data,as well as techniques of compressing and encrypting the watermarked geo-spatial graphics data.The technology aims at tracing and resisting the illegal distribution and duplication of the geo-spatial graphics data product,so as to effectively protect the data producer＇s rights as well as to facilitate the secure sharing of geo-spatial graphics data.So far in the CIS field throughout the world,few researches have been made on digital watermarking.The research is a novel exploration both in the field of security management of geo-spatial graphics data and in the applications of digital watermarking technique.An application software employing the proposed technology has been developed.A number of experimental tests on the 1：500,000 digital bathymetric chart of the South China Sea and 1：10,000 digital topographic map of Jiangsu Province have been conducted to verify the feasibility of the proposed technology.

A Facilitated Interface to Generate a Combined Textual and Graphical Database System Using Widely Available Software

Data-Base Management System (DBMS) is the current standard for storing information. A DBMS organizes and maintains a structure of storage of data. Databases make it possible to store vast amounts of randomly created information and then retrieve items using associative reasoning in search routines. However, design of databases is cumbersome. If one is to use a database primarily to directly input information, each field must be predefined manually, and the fields must be organized to permit coherent data input. This static requirement is problematic and requires that database table(s) be predefined and customized at the outset, a difficult proposition since current DBMS lack a user friendly front end to allow flexible design of the input model. Furthermore, databases are primarily text based, making it difficult to process graphical data. We have developed a general and nonproprietary approach to the problem of input modeling designed to make use of the known informational architecture to map data to a database and then retrieve the original document in freely editable form. We create form templates using ordinary word processing software: Microsoft InfoPath 2007. Each field in the form is given a unique name identifier in order to be distinguished in the database. It is possible to export text based documents created initially in Microsoft Word by placing a colon at the beginning of any desired field location. InfoPath then captures the preceding string and uses it as the label for the field. Each form can be structured in a way to include any combination of both textual and graphical fields. We input data into InfoPath templates. We then submit the data through a web service to populate fields in an SQL database. By appropriate indexing, we can then recall the entire document from the SQL database for editing, with corresponding audit trail. Graphical data is handled no differently than textual data and is embedded in the database itself permitting direct query approaches. This technique makes it possible for general users to benefit from a combined text-graphical database environment with a flexible non-proprietary interface. Consequently, any template can be effortlessly transformed to a database system and easily recovered in a narrative form.

Systematic Review of Graphical Visual Methods in Honeypot Attack Data Analysis

Mitigating increasing cyberattack incidents may require strategies such as reinforcing organizations’ networks with Honeypots and effectively analyzing attack traffic for detection of zero-day attacks and vulnerabilities. To effectively detect and mitigate cyberattacks, both computerized and visual analyses are typically required. However, most security analysts are not adequately trained in visualization principles and/or methods, which is required for effective visual perception of useful attack information hidden in attack data. Additionally, Honeypot has proven useful in cyberattack research, but no studies have comprehensively investigated visualization practices in the field. In this paper, we reviewed visualization practices and methods commonly used in the discovery and communication of attack patterns based on Honeypot network traffic data. Using the PRISMA methodology, we identified and screened 218 papers and evaluated only 37 papers having a high impact. Most Honeypot papers conducted summary statistics of Honeypot data based on static data metrics such as IP address, port, and packet size. They visually analyzed Honeypot attack data using simple graphical methods (such as line, bar, and pie charts) that tend to hide useful attack information. Furthermore, only a few papers conducted extended attack analysis, and commonly visualized attack data using scatter and linear plots. Papers rarely included simple yet sophisticated graphical methods, such as box plots and histograms, which allow for critical evaluation of analysis results. While a significant number of automated visualization tools have incorporated visualization standards by default, the construction of effective and expressive graphical methods for easy pattern discovery and explainable insights still requires applied knowledge and skill of visualization principles and tools, and occasionally, an interdisciplinary collaboration with peers. We, therefore, suggest the need, going forward, for non-classical graphical methods for visualizing attack patterns and communicating analysis results. We also recommend training investigators in visualization principles and standards for effective visual perception and presentation.

基于IDATA的气象雷达图像仿真系统

为满足军事训练的需要,开发了基于仪表软件IDATA的机载气象雷达图像仿真系统。通过模拟天线向空间脉冲回波,计算单位体积内云中含水量、降水强度、气流速度、风场等物理数据信息,建立了RGB颜色空间模型和半实物的雷达仿真平台,实现了在复杂气象条件下对强雷雨云回波的屏幕测绘,并解决了模拟余晖扫描和提高雷达搜索增益等问题,极大地改善了军事训练的效果。

Oracle*Forms与Oracle*Graphics的集成技术

本文将研究Oracle * Forms与Oracle * Graphics集成的作用和机制,并结合典型实例着重介绍使用OG.PLL.集成Oracle *Forms与Oracle * Graphics的方法和步骤。

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。

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.

Program design of STL machine graphics realistic system

This topic is based on AutoCAD graphic input environment. It takes the STL format graphic files as the data exchange interface to do the research of STL interactive 3D realistic graphics displaying content. Through the analysis of the STL file format, in VC＋＋6.0 programming environment, class if stream in the standard IO library was used for object class definition. And get line functions in the string class were called to read and bind STL file line by line. In data processing module, draw triangles in OpenGL programming technology was applied to realize the visual display of the STL graphics, with the corresponding 3D entity data generated. OpenGL graphics processing technologies were applied to display 3D graphics from STL files input or realistic program module, which contain the graphic transformation, light, materials, et al. Test reports were shared based on the test of the application system. Finally the program design of STL graphics realistic display system was completed based on research work, which has certain theoretical and practical significance in the aspect of engineering application.

VIDEO MULTI-TARGET TRACKING BASED ON PROBABILISTIC GRAPHICAL MODEL

In the technique of video multi-target tracking,the common particle filter can not deal well with uncertain relations among multiple targets.To solve this problem,many researchers use data association method to reduce the multi-target uncertainty.However,the traditional data association method is difficult to track accurately when the target is occluded.To remove the occlusion in the video,combined with the theory of data association,this paper adopts the probabilistic graphical model for multi-target modeling and analysis of the targets relationship in the particle filter framework.Ex-perimental results show that the proposed algorithm can solve the occlusion problem better compared with the traditional algorithm.

Program Design of Graphic Realism Displaying System Based on DXF Lathe Turning Rotational Parts

For virtually realizing the graphic realism display of DXF machine parts, in AutoCAD2007 graphic drawing environment, an interactive experimental method was taken to realize the display of graphic in DXF, which was taken as the data-exchanged interface and source. Based on depth analysis of DXF data structure, take one drawing of DXF lathe turning rotational part asthe test piece. By VC＋＋6.0 programming, part＇s geometry information could be obtained. Through data processing, 3D data of the test piece could be generated, which is based on 2D data of DXF test piece. Then, OpenGL graphic processing technologies （light, material, texture, map, et al.） were applied on the 3D display of test piece from DXF files or program modules. Finally based on the test report, results of the system functions were shared to prove the realization of system design, and the feasibility of algorithms used. In the developed software, Machine Designers could get a full view of machine parts, and do some proper modifications. The study content and results of our work have some theory and practical significance on the application of program design in the practical projects.

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.

基于Matplotlib数据可视化的应用与研究

由于科学技术的快速发展,各行各业涉及的大量数据,需要处理。数据处理后的结果,需要展现和应用。基于Matplotlib的数据可视化,是目前最受喜欢的方法。通过数据可视化的处理,用户可以提取、掌握和运用所需的信息,进行判断、预测和指导实际的相关工作,以达到所期望的成果。所提出的数据可视化,详细、清晰,是一项值得扩展和研究的技术。从数据可视化、箱线图的运用和折线图的运用等三大方面进行阐述。

Natural Gas Prospecting by Using Satellite MT Data in Chishui Area,Guizhou

Oil-gas remote sensing information is obtained from satellite TM data through graph-ic treatment in the light of the hydrocarbon-microseepage theory. The nine target areas (ofthree types) selected on this basis coincide well with the occurrence of natural gases and have been proved by subsequent prospecting. Plants in the target areas are characterized, as a result of hydrocarbon- microseepage, by abnormal spectral features with the absorption peaks of chlorophyll shifting toward blue light, reflectivity in the range of visible light increasing and re-flectivity in the near infrared region decreasing.

工程图学课程的数字化转型实践探索

随着信息技术和智能制造技术的飞速发展,工程图学课程正迎来数字化转型的重大机遇。文章聚焦课程内容、教学模式、数据分析与反馈三个维度,探索工程图学课程的数字化转型。具体措施包括:引入前沿数字化技术,整合数字化教学内容;丰富数字化资源,创新数字化教学组织模式;引入数字化评估工具,对学生的学习进行精准干预和全面评价。实践表明,工程图学课程的教学质量和效果得到显著提升,为同类课程深入开展数字化转型实践积累了经验。

Energy Consumption Power Aware Data Delivery in Wireless Network

In this paper, we present the virtual desktop that uses a novel methodology and related metrics to benchmark thin client based on Data Delivery Networks (DDN) in terms of scalability and reliability. Most studies of the wireless networks mainly focus on system performance and power consumption circuit system;the main target has been separated in terms of Data operation and GUI operation by DDN. The communication protocol for wireless communication may play a major role in energy consumption and other important factors. The portable devices like Personal Digital Assistance (PDA) and others are mainly focusing on the efficient energy consumption (power control) in wireless networks. Here we focus on energy efficiency, algorithmic efficiency, virtualization and resource allocation;these are the main aims of the authors. The foremost research in the direction of wireless computing in saving energy and reducing carbon foot prints is also the challenging part. This is the study proof of brief account of wireless networks.

面向图神经网络模型提取攻击的图数据生成方法

无数据模型提取攻击是基于攻击者在进行攻击时所需的训练数据信息未知的情况下提出的一类机器学习安全问题。针对无数据模型提取攻击在图神经网络(GNN)领域的研究缺乏,提出分别用GNN可解释性方法GNNExplainer和图数据增强方法GAUG-M优化图节点特征信息和边信息生成所需图数据,最终提取GNN模型的方法。首先,利用GNNExplainer方法对目标模型的响应结果进行可解释性分析得到重要的图节点特征信息;其次,通过对重要的图节点特征加权,对非重要图节点特征降权,实现图节点特征信息的整体优化;然后,使用图形自动编码器作为边信息预测模块,根据优化后的图节点特征得到节点与节点之间的连接概率;最后,根据概率增加或者删减相应边优化边信息。实验采用5个图数据集训练的3种GNN模型架构作为目标模型提取攻击,得到的替代模型达到了73%~87%的节点分类任务准确性和76%~89%的与目标模型性能的一致性,验证了所提方法的有效性。

河海图结构蛋白质数据集及预测模型

蛋白质是一种具有空间结构的物质。蛋白质结构预测的主要目标是从已有的大规模的蛋白质数据集中提取有效的信息,从而预测自然界中蛋白质的结构。目前蛋白质结构预测实验存在的一个问题是,缺少能够进一步反映出蛋白质空间结构特征的数据集。当前主流的PDB蛋白质数据集虽然是经过实验测得,但没有利用到蛋白质的空间特征,而且存在掺杂核酸数据和部分数据不完整的问题。针对以上问题,从蛋白质的空间结构角度来研究蛋白质的预测。在原始PDB数据集的基础上,提出了河海图结构蛋白质数据集(Hohai Graphic Protein Data Bank,HohaiGPDB)。该数据集以图结构为基础,表达出了蛋白质的空间结构特征。基于传统Transformer网络模型对新的数据集进行了相关的蛋白质结构预测实验,在HohaiGPDB数据集上的预测准确率可以达到59.38%,证明了HohaiGPDB数据集的研究价值。HohaiGPDB数据集可以作为蛋白质相关研究的通用数据集。

融合多源异构在线评论的开放式创新社区创意采纳预测研究

整合内外部创新资源以获得市场优势一直是企业关注的问题,这是因为企业的创新能力直接决定了企业的兴衰成败。已有的以在线评论为数据源预测开放式创新社区中创意采纳的研究主要依靠单一的文本特征。基于启发式系统性说服理论,本文提出了一种新的开放式创新社区创意采纳预测模型。该模型在基于信任转移理论和价值共创理论基础上,归纳了多源异构在线评论的定义,并从启发式评论者特征、启发式评论特征和系统性评论特征3个层次特征来描述创意。此外,还引入图注意力网络实现了3个层次创意特征的融合。本文从真实的开放式创新社区收集了数据集,验证了本文模型及其各个特征,该模型准确预测创意采纳的综合性能大约在97%,图模型特征融合后的分类预测结果优于传统的机器学习分类算法。研究结果不仅证明了图模型在特征融合中的有效性,而且从融合评论特征和评论者特征的角度,为创意采纳预测提供了方法和理论上的支持。

火炮图元化显控系统研究与应用

显控系统是火炮信息系统的重要组成部分之一,负责武器系统的信息可视化和操控标准化,是实现火炮武器系统信息获取和人机交互的核心系统。图元化显控系统立足于火炮武器系统的研发、设计、使用和维护,基于图元化显控设计思想和层次化软件体系架构,在建立了图元和图元库的基础上,利用图元管理、DDS和数据字典技术,构建了一种高效开发和灵活配置的具有图元化、通用化、模块化和标准化等特征的人机交互显控平台,进而实现了人机席位浮动。该设计方法不但提高了软件可重用性、可移植性和开发效率,也符合未来火炮显控系统的发展思路和趋势。