Difference of Visual Information Metric Based on Entropy of Primitive

Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing.Image after sparse representation,to enhance the transmission efficiency of the image signal.Entropy of Primitive(EoP)is a statistical representation of the sparse representation of the image,which indicates the probability of each base element.Based on the EoP,this paper presents an image quality evaluation method-Difference of Visual Information Metric(DVIM).The principle of this method is to evaluate the image quality with the difference between the original image and the distorted image.The comparative experiments between DVIM&PSNR&SSIM are carried out.It was found that there was a great improvement in the image quality evaluation of geometric changes.This method is an effective image quality evaluation method,which overcomes the weakness of other quality evaluation methods for geometrically changing images to a certain extent,and is more consistent with the subjective observation of the human eye.

Study of Visual Information Acquisition Technology based on AGV Robot

Visual information acquisition is an important component of the AGV robot. The system adopts STM32F4 embedded application of the ARM Cortex-M4 kernel as the main control module,using shift algorithm to finish on a specific color piece of target tracking. For multi-sensor fusion of three methods,quaternion method is used to correct the attitude,the stability of AGV robot visual information acquisition and image clarity are improved.

Geographical Information Visualization on a Panoramic Sphere in an Immersive Environment

In this paper,we propose a novel approach to visualizing global geographical information:a panoramic sphere in an immersive environment.The whole geographical surface can be observed through the rotating of heads as the viewpoint of the panoramic sphere is inside the sphere.We compared three approaches to visualizing the earth for rendering the geographical information in a virtual reality environment.On the tasks of terrestrial and marine geographical information,we compare the visualization effects on a)a globe,b)a flat map and c)a panoramic sphere.Terrestrial geographical information tasks include the area comparison and direction determination.Marine geographical information tasks contain the visualization of sea surface temperature and sea surface currents.For terrestrial geographical information tasks,the experimental results show that the panoramic sphere outperforms the globe and the flat map,with a higher average accuracy and a shorter time.On marine geographical information task,the panoramic sphere visualization is also superior to the flat map and the globe in an immersive environment for the sea surface temperature data and the sea surface current fields.In all three visualization experiments,the panoramic sphere is most preferred by the participants,particularly for global,transcontinental and transoceanic needs.

Visual Information Based Social Force Model for Crowd Evacuation

With the increase in large-scale incidents in real life, crowd evacuation plays a pivotal role in ensuring the safety of human crowds during emergency situations. The behavior patterns of crowds are well rendered by existing crowd dynamics models. However, most related studies ignore the information perception of pedestrians.To overcome this issue, we develop a visual information based social force model to simulate the interpretable evacuation process from the perspective of visual perception. Numerical experiments indicate that the evacuation efficiency and decision-making ability promote rapidly within a small range with the increase in unbalanced prior knowledge. The propagation of acceleration behavior caused by emergencies is asymmetric due to the anisotropy of visual information. Therefore, this model effectively characterizes the effect of visual information on crowd evacuation and provides new insights into the information perception of individuals in complex scenarios.

Best-effort service QoE assessment using visual information based Weber-Fechner law

Quality of experience（QoE） has been one of the most important factors for service providers and operators to develop and deploy services. Previous works have shown that Weber-Fechner law（WFL） can be used to promote the accuracy of best-effort（BE） services＇ QoE assessment. In this paper, based on WFL, we take a deep insight into the visual information of BE services and its role in WFL, especially in web browsing services, and propose an enhanced QoE assessment model for BE services by taking the visual information into account. Both images and texts visual information are extracted and combined to get the visual information for web pages. Finally, a subjective experiment is performed to validate performance of proposed QoE assessment model, which shows that it performs better than traditional WFL based model.

Information visualization,physicality and intuitive use for tangible user interfaces

In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.

Information Visualization Theorem for Battlefield Screen

Designing military screen (display) is not complicated in the past, the design should contains easiness of using, visibility and functionality. And it is important that contains all of the information what the system could be gotten. Today military display design can be valued by consideration of human’s cognition model. A few information, which operators of military display could easily miss, could bring critical loss. So the military display needs the ability to help operator decide the military decision with sufficient consideration of battlefield information in a short time. The information is considerably complicated because it has many military entities and many attributes for each entities. For this reason this research contains the methodology of information organization especially for visual information. When the operator use military display, the required information should be recognized at a glance and located where the operator can place his eye easily. Therefore, the display screen should efficiently organize and effectively transfer the information. This paper specifically proposes design methodology to effectively organize and visualize the information in the display screen. The theory of information visualization in a variety of fields already exist, but it has no established theory for the origin of the display screen design. Since the theory was selected to organize the military display interface design for the display screen of the battlefield situation existing information visualization theory.

A comparative study of information visualization from the perspective of intellectual base: Using WoS and CSSCI

Purpose: Focusing on a comparative analysis of information visualization in library and information science(LIS) from the perspective of research subject and intellectual base, this paper aims to discover the difference and coherence between Chinese domestic studies on information visualization and those of other areas of the world so as to show their theoretical foundation and development trend in a more objective way.Design/methodology/approach: By using the social network analysis tool Ucinet, we have first constructed networks of key author collaboration for 651 articles retrieved from the Chinese Social Sciences Citation Index(CSSCI) and 910 from the Web of Science(WoS),which were published on information visualization between 1998 and 2012 in library and information science, then we compared the intellectual base by mapping analysis from perspective of half-life, centrality and burst detection with CiteSpace II.Findings: Up to date, 51 countries and regions have contributed to the research of information visualization, and in total, we found 9 research clusters of author co-occurrence matrices,among which three are in China. Within Chinese co-author networks, most Chinese scholars have come from the same research institutions, that is to say, more international cooperation and exchange are still required for the research of information visualization across different disciplines and regions.Research limitations: This co-author network and co-citation analysis is mainly based on the research field of LIS with a focus of the WoS and CSSCI databases only, further samples are required for more generalized results to increase our understanding on the development trend of information visualization.Practical implications: This study could lead to a better understanding of the applications of information visualization technologies in discovering the development trend of a research field. Originality/value: To the best of our knowledge, this is the first comparative analysis of research subject and intellectual base on information visualization, specifically, from the perspective of contributions of Chinese scholars in this regard. By dividing most frequently cited Chinese literature into two categories(original and non-original research papers), this paper shows the extent of contributions that Chinese domestic scholars have made to the research of information visualization, by revealing the contributions of different types of Chinese domestic papers on information visualization.

Monitoring Information 3D Visualization for Super-Filling Loess Project

The construction of high-filled loess project has some engineering and technical challenges, such as excavation of earth and backfilling of earth are both large, complex construction environment, variety of influence factors. According to this situation, this paper presents a dynamic 3D visualization method for high-filled project based on volume rendering. Through comparative analysis and visual analysis, realized at different times of the Loess fill internal detection data visualization and analysis presented. The results show that this visualization method can directly and accurately display the construction process, help decision makers master construction information and process.

Optimization method for a radar situation interface from error-cognition to information feature mapping

With the rapid development of digital and intelligent information systems, display of radar situation interface has become an important challenge in the field of human-computer interaction. We propose a method for the optimization of radar situation interface from error-cognition through the mapping of information characteristics. A mapping method of matrix description is adopted to analyze the association properties between error-cognition sets and design information sets. Based on the mapping relationship between the domain of error-cognition and the domain of design information, a cross-correlational analysis is carried out between error-cognition and design information.We obtain the relationship matrix between the error-cognition of correlation between design information and the degree of importance among design information. Taking the task interface of a warfare navigation display as an example, error factors and the features of design information are extracted. Based on the results, we also propose an optimization design scheme for the radar situation interface.

Visual order of Chinese ink paintings

Visual order is one of the key factors influencing the aesthetic judgment of artworks.This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings,using a regression model.We use nine contemporary artists’paintings as examples and extract features related to the visual order of their paintings.A questionnaire survey is conducted to collect people’s rating scores on the visual order.Via regression modeling,our research analyzes the significance of each feature and validates the influences of the features on the visual order.

Interactive multigraph visualization and exploration with a two-phase strategy

While it is very reasonable to use a multigraph consisting of multiple edges between vertices to represent various relationships, the multigraph has not drawn much attention in research. To visualize such a multigraph, a clear layout representing a global structure is of great importance, and interactive visual analysis which allows the multiple edges to be adjusted in appropriate ways for detailed presentation is also essential. A novel interactive two-phase approach to visualizing and exploring multigraph is proposed. The approach consists of two phases： the first phase improves the previous popular works on force-directed methods to produce a brief drawing for the aggregation graph of the input multigraph, while the second phase proposes two interactive strategies, the magnifier model and the thematic-oriented subgraph model. The former highlights the internal details of an aggregation edge which is selected interactively by user, and draws the details in a magnifying view by cubic Bezier curves; the latter highlights only the thematic subgraph consisting of the selected multiple edges that the user concerns. The efficiency of the proposed approach is demonstrated with a real-world multigraph dataset and how it is used effectively is discussed for various potential applications.

TEXTINSIGHT: A NEW TEXT VISUALIZATION SYSTEM BASED ON ENTROPY AND GMAP

In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visualization system called TextInsight with two of our contributions. Firstly, a textual entropy theory is introduced to encode the semantic importance distribution in the corpus. Based on the proposed multidimensional joint probability histogram in vector fields, the improved algorithm provides a novel way to position valuable information in massive short texts accurately. Secondly, a map-like metaphor is generated to visualize the textual topics and their relationships. For the problem of over-segmentation in the layout and clustering procedure, we propose an optimization algorithm combining Affinity Propagation(AP) and MultiDimensional Scaling(MDS), and the improved geographical representation is more comprehensible and aesthetically appealing. Our experimental results and initial user feedback suggest that this system is effective in aiding text analysis.

Visualization of Personal Interest Graph from Social Network

The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, the idea of information visualization and development of tools are presented. Popular social network micro-blog （＇Weibo＇） is chosen to realize the process of users＇ interest and communications data analysis. User interest visualization methods are discussed and chosen and programs are developed to collect users＇ interest and describe it by graph. The visualization results may be used to provide the commercial recommendation or social investigation application for decision makers.

Subject-Based Information Retrieval System in Digital Libraries

Objective: Information visualization is the study of interactive depictions of abstract and data to strengthen the human cognition. Designing an appropriate information visualization system may be very useful technique for scholars, who intent to get scientific information from digital libraries. The objective of current study was to map and visualize the key-information of dissertations in academic libraries. To achieve the aim, an information retrieval system was designed to present the interactive graphic view of dissertations’ subjects in academic. Methods: An information retrieval system was designed by information visualization toolkit that presents the related subjects of dissertations in academic libraries. In addition, the satisfaction-levels of library-users were analyzed by administrating a standard questionnaire (QUIS Questionnaire). Results: The study indicated that the designed IR system helped to provide a user-friendly environment through displaying subjective relations of dissertations, overwhelming variety of colors in displaying information. Fast and easy access to the cover-to-cover information of dissertations and user-interaction facilities are the advantages of designed IR. Analysis of data furthermore indicated that the users’ satisfaction from the system was from medium to high grade. Conclusion: Designing the IR-system revealed an excessive influence on users’ satisfaction;therefore, proposing such systems for employing in academic libraries is very suitable and its implementation is necessary.

A visual analysis of the usage efficiency of library books

The monographic collections in academic libraries have undergone a period of tremendous growth in volume, in subject diversity, and in formats during the recent several decades. Readers may find it difficult to prioritize which book(s) should be borrowed for a specific purpose. The log data of book loan record may serve as a visible indicator for the more sought-after books by the readers. This paper describes our experimental efforts in exploring various visual techniques to analyze the borrowing patterns of the monographic works in a university library setting. The visual analysis is thought to provide an effective way to extract the book usage information, which may yield new insights into a host of other related technical as well as user behavior issues. Initial experiment has demonstrated that the proposed approach as articulated in this article can actually benefit end-users as well as library collection development personnel in their endeavor of book selections with effective measure.

基于LabVIEW的电信号傅里叶分解合成实验系统开发

基于LabVIEW设计了集电信号的傅里叶分解、合成、频率响应及频谱分析功能于一体的虚拟仿真实验系统。该软件具有图形用户界面,可调节信号类型、幅度、频率和电阻、电容、电感等各种电路参数。测试结果表明该实验系统不仅能实现电路实验箱全部功能,还能实现频率响应、频谱分析及改变电感进行傅里叶分解等实验箱不具备的功能。在实验教学中,将开发的虚拟仿真实验程序放到网上,用于疫情期间的线上教学,能有效地提高电路实验教学质量。

基于LabVIEW的单臂、双臂电桥仿真实验系统开发

针对大学物理实验中的直流电桥测电阻实验,统一了单臂电桥和双臂电桥中流过检流计的电流强度计算公式.以Lab VIEW为开发工具,设计了一套集直流单臂、双臂电桥测试功能于一体的虚拟仿真实验系统,实现了单臂电桥测量中值电阻和双臂电桥测量低值电阻的全部功能.在大学物理实验教学中,将虚拟仪器用于实验教学,辅助讲解教学难点,有效地提高了教学质量;将虚拟仿真实验通过VI生成应用程序(EXE)放在校园网上,用于信息化教学,为学生预习、复习提供了自主学习空间.

矿井通风信息化和智能化研究

从信息化、可视化、集成化与智能化的角度出发,综合评述了矿井通风的技术现状;从矿井通风信息管理、网络分析、设计与决策等方面,阐述了矿井通风软件的研究进展与目前的应用现状;基于研究和管理,提出了系统总体设计方案。初步研究了矿井通风信息的采集和处理,确定了信息界定的原则、依据、方法和范围,初步探讨了矿井通风设计与决策技术的多种综合集成方法。

建筑物纠倾加固施工信息化监控系统研究

在建筑物纠倾加固工程施工过程中 ,现场监测数据处理信息量大且时间紧迫。研制了一个对建筑物纠倾施工过程进行信息可视化监控的软件系统 ,主要功能包括图形处理、数据输入、报表及图形输出、自动化报警等。该系统可使现场及时而直观地对监测数据进行自动化处理并使反馈。