Data Visualization System Research Articles

Research on Human-Computer Interaction Technology of Large-Scale High-Resolution Display Wall System

As an effective solution for data visualization and analysis, the large-scale high-resolution display wall system has been widely used in various scientific research fields. On the basis of investigating existing system cases and research results, this paper introduces the SHU-VAS system (60 screens, 120 megapixels) for data visualization and analysis. In order to improve the efficiency of human-computer interaction in large-scale high-definition display wall systems, we propose an interaction framework based on gesture and double-precision pointing technology. During the interaction process, an adaptive mode switching method based on user action features is used to switch between rough and precise control modes. In the evaluation experiments, we analyzed the characteristics of different interaction methods in movement and navigation interaction tasks, and verified the effectiveness of the gesture-based interaction framework proposed in this paper.

Monitoring System Enhancing the Potential of Urban Beekeeping

Urban beekeeping has become increasingly popular, despite having different objectives than the large-scale professional/commercial one. Not so much focused on financial profit, urban apiculture provides valuable educational opportunities, promotes the greening of cities, and creates environmental awareness. Many companies and institutions make it a valuable component of their public relations strategy. Urban beekeeping benefits may be enhanced by applying specialized technical infrastructure. In particular, the use of modern technologies attracts the younger generation to be involved in beekeeping. This paper aims to present the abilities of the automatic monitoring system, which meets the goals of urban beekeeping. The set of equipment consists of a sensor module, video cameras, a unit for data acquisition, and a system for data transmission, presentation, and visualization. The monitoring system allows for real-time observation of the beehive interior and entrance. It continuously measures selected physical and chemical parameters of the beehive atmosphere and provides a record of the beehive’s weight. Additionally, ambient air is monitored for reference. The video streaming and measurement results are available to the public online through the dedicated webpage. System performance was evaluated regarding the interactions with honey bees, sensor measurement characteristics, and data collection efficiency. Three months of operation in the urban apiary confirmed that the system is fully functional and fulfills its objectives. System development continues.

Information Transmission and Visual Image System Construction on WeChat Public Accounts of Colleges and Universities -- A Case Study on Jiangsu University

Objectives: This study aims to make the public platforms of modern colleges and universities more propagating and more accommodating to the use demand and psychological needs of the public. With the WeChat public account of Jiangsu University as an example, this study is based on the Customer Satisfaction Index (CSI) and combines the characteristics of the official WeChat public account of Jiangsu University. A Jiangsu University official WeChat public account customer satisfaction model was built according to the user evaluation of the usefulness, usability, enjoyment, appearance, and perceived information quality of WeChat public accounts. Methods: Focusing on vision and the readings of WeChat tweets from the Jiangsu University public account, we conducted two-factor analysis of variance to observe the participation behaviors of users. Thereby, the concrete strategies for Jiangsu University to build its vision system on its WeChat public account were systematically analyzed.

Development of Interactive Data Visualization System in Three-Dimensional Immersive Space

Development of Interactive Data Visualization System in Three-Dimensional Immersive Space

Decision-making System Model of Modern Enterprise Management Based on Big Data

The current era of big data has brought many opportunities for enterprise management, and the use of big data can guide modern enterprise management decisions. Based on this, the decision-making system model of modern enterprise management with big data is studied, with a data visualization system proposed. Based on the development status of the information-based supervision system of the process plant and the actual application requirements of the enterprise, the key technologies of the information-based supervision system of the process plant in view of the contradiction between the two are studied. The practice shows that the experiment has improved the technical level and supervisory ability of the information-based supervision system of the process plant, which can guide the decision-making of the production enterprise.

Mapping Future Research Employee Fraud with Bibliometric Analysis

This study aims to present and explain employee fraud by reviewing bibliometric analysis gathered from the Scopus database from 2011 until 2020. The analysis method uses the VOSviewer application system for data visualization and Microsoft Excel to perform data frequency analysis. The results indicate that there is still a lack of research on employee fraud from 2011 until 2020. Meanwhile, it contradicts the results of the ACFE survey which shows a shifting in the trend of fraud perpetrators. For instance, in 2019 the first place was occupied by directors/owners, while in 2020 fraud perpetrators were dominated by employees. Hopefully, this research helps encourage other researchers to conduct research on employee fraud in the field of detection and prevention for the sake of the sustainability of an organization. To the best of the author's knowledge, a bibliometric analysis study of employee fraud using the Scopus database is difficult to find

Digital Game Visual Style Classification: Influence of Information Quality Components on the User Satisfaction during Game Searching Activity in the Digital Game Library

The digital gaming community appreciates the visual style classification system to search for information about a game product. However, scholars have discovered that the applied visual style classification system frequently leads to frustration and dissatisfaction among users owing to inaccurate search results. Moreover, there are yet any research studies that accurately measure user satisfaction during game searching activity in the digital game library based on the current visual style classification system. Therefore, this study was performed to investigate the influence of information quality components (Accuracy, Content, Ease of Use, Format, and Timeliness) on User Satisfaction during game searching activity in the digital game library. A cross-sectional study was conducted by distributing self-administered digital questionnaires to 239 game players in Malaysia. The 12-item instrument survey questionnaire, which consists of four main sections, adopted the End-user Computing Satisfaction (EUCS) model to examine the relationships between user satisfaction and information quality components. The results were then analysed using descriptive statistics, preliminary data analysis, and Confirmatory Factor Analysis (CFA). Based on the findings, more than half of the respondents were male (n = 139, 58.2%) with an age range between 19 and 24 years old, and 79.1% (n = 189) have experience in searching digital games based on visual styles. The EUCS model revealed that user satisfaction during game searching activity using the visual style information highly correlated with Content, Accuracy, and Ease of Use. Users were satisfied when they receive accurate, precise, and sufficient information. In addition, a user-friendly and simplified navigation interface improved the searching experience and stimulate users to further their searching activity. In contrast, the Format and Timeliness showed a weak correlation. Providing visual classification and appeal format has less impact on user satisfaction. In addition, the fast speed of information retrieval and up-to-date information showed an insignificant contribution to user satisfaction. Overall, this research demonstrated that information quality components, namely Content, Accuracy, and Ease of Use, influenced User Satisfaction when searching for games based on the visual style. Future studies should explore and evaluate the effectiveness of visual style information systems for digital game distribution platforms in Malaysia.

Application of Data Visualization and Big Data Analysis in Intelligent Agriculture

Intelligent agriculture can renovate agricultural production and management, making agricultural production truly scientific and efficient. The existing data mining technology for agricultural information is powerful and professional. But the technology is not well adapted for intelligent agriculture. Therefore, this paper introduces data visualization and big data analysis into the application scenarios of intelligent agriculture. Firstly, an intelligent agriculture data visualization system was established, and the RadViz data visualization method was detailed for intelligent agriculture. Moreover, the intelligent agriculture data were processed using dimensionality reduction through principal component analysis (PCA) and further optimized through k-means clustering (KMC). Finally, the crop yield was predicted using the multiple regression algorithm and the residual principal component regression algorithm. The crop yield prediction model was proved effective through experiments.

Design and Implementation of Wastewater Pollutant Data Analysis and Visualization System for Vessels

To monitor the discharge of water pollutants from vessels, a monitoring system for the discharge of water pollutants from vessels has been established on the Yangtze River. The system generates tens of thousands of ship wastewater pollutant data every day. The analysis and visualization of wastewater pollutant discharge data can help the monitoring department to grasp the discharge situation and improve the accuracy of supervision. This system extracts the data to the data warehouse in real-time based on the data extraction technology, improves the query efficiency based on the three-level storage architecture, makes real-time pollutant data statistics based on the stream computing technology, and realizes the visual display of the data based on the front-end and back end-separation technology. The system has been applied in the maritime supervision department to provide a data basis for vessel wastewater pollutant supervision and decision-making.

How do we measure organisational wellness? Development of a comprehensive patient-centred and employee-centred visual analytical solution

BackgroundDashboards are visual information systems frequently employed by healthcare organisations to track key quality improvement and patient safety performance metrics. The typical healthcare dashboard focuses on specific metrics, disease processes...

HyperCube4x: A viewport management system proposal

This article presents a novel management and information visualization system proposal based on the tesseract, the 4D-hypercube. The concept comprises metaphors that mimic the tesseract geometrical properties using interaction and information visualization techniques, made possible by modern computer systems and human capabilities such as spatial cognition. The discussion compares the Hypercube and the traditional desktop metaphor systems. An operational prototype is also available for reader testing. Finally, a preliminary assessment with 31 participants revealed that 81.05% “agree” or “totally agree” that the proposed concepts offer real gains compared to the desktop metaphor.

A new remote web-based MDSplus data visualization system for EAST

WebScope has been widely used in the Experimental Advanced Superconducting Tokamak (EAST) experiment for many years. The choice of the Java applet technology for its implementation has been successful, which allows for pulse data communication and instant feedback through various web browsers. Accessing MDSplus data with it however brings some inconvenience due to the majority of browsers have dropped support for Java plugin. Recently, a new web-based MDSplus data visualization system with the MVVM (Model–View–ViewModel) architecture has been developed. The flexibility brought by using JavaScript middle components in the architecture reduces the program coupling and improves the system availability. A further availability is proposed here, that is, using reverse proxy mechanism to publish the abstract interfaces provided by MDSplus separately from the visual resources, with the proxy to specify data request relationships. For incoming network traffic in the server pool, effective load balancing is ensured. The slice storage mechanism in MDSplus and thumbnail are now used for storing and reading long pulse data, and exporting data through proxy ports which ensures secure access to experimental data. Pulse access variables are also stored in cloud server for authorized users to share across devices. The system was successfully applied to EAST experiment and achieved good performance. The design details of the system are described in this paper.

Design and Implementation of COVID-19 Data Analysis and Visualization System

In order to facilitate the real-time analysis of COVID-19, a COVID-19 data analysis and visualization system is designed and implemented, which acuqries data from Baidu epidemic platform. It displays the epidemic dynamics, new trends, cumulative diagnosis, diagnosis distribution and other information through a big visualization screen. This system adopts the front-end and back-end separation technology, uses Scrapy to acquire epidemic data, and stores the data in the MySQL database through cleaning, conversion and other steps. The back-end obtains data based on Spring Boot, and the front-end uses Vue technology to analyze the back-end data and display the epidemic data in ECharts diversified charts. The practice under the production environment proves that the system can meet the requirements of real-time display and has high scalability.

Design and Implementation of Port Data Analysis and Visualization System

Under the background of big data era, ports have realized the informatization of transport data, and has accumulated a large amount of transport data. The potential value contained in the port transportation data needs to be excavated, and a large number of external data also needs to be obtained. However, the traditional statistical analysis system can no longer meet the demand. In order to fully tap the potential value of port data, this paper designs and implements a port data analysis and visualization system to help enterprises master the trend of material flow. The system development is based on Python language. Pandas is used for data analysis, Flask is used to implement the MVC framework, ECharts is used for chart display, and data is imported from the business database to the MySQL database.

Evaluating an augmented reality interface for sailing navigation: a comparative study with a immersive virtual reality simulator

Sailing navigation is an activity that requires acquiring and processing information from the surrounding environment. The advancement of technology has enabled sailboats to have an increasing number of onboard sensors that make sailing more user-friendly. However, data provided by these sensors are still visualized on 2D digital displays that imitate traditional analog interfaces. Although these displays are strategically placed on the sailboat, the user needs to divert attention from the primary navigation task to look at them, thus spending a significant amount of cognitive resources. AR-based technologies have the potential to overcome these limitations by displaying information registered in the real environment, but there are no studies in the literature for validating the effectiveness of this technology in the field of sailing. Thus, we designed a head-mounted display AR-based interface to assist users in monitoring wind data to avoid user diversion from the primary task of sailing. We conducted a user study involving 45 participants in an Immersive Virtual Reality simulated environment. We collected objective and subjective measures to compare the AR-based interface with a traditional data visualization system. The AR-based interface outperformed the traditional data visualization system regarding reaction time, cognitive load, system usability, and user experience.

Application of the Kerthi Bali Economy in a Web-Based Geospatial Visualization Information System

Traditional village is a unit of customary law community in Bali which has territory, position, original structure, traditional rights, own assets, traditions, and social manners of community life from generation to generation. One of the values ​​of local wisdom that can be implemented in economic activities is Sad Kerthi, namely the six main sources of welfare/happiness of human life. The Kerthi Bali Economy is an economy to realize an Independent Bali in the Economic Sector, built and developed based on the values ​​of Sad Kerthi's philosophy. Because the principle of Kerthi Bali Economics is a new concept, the researcher analyzes the contents and phenomena described in the Kerthi Bali Economics book and is associated with other economics references. At this stage will produce an indicator in measuring the economic principles of Kerthi Bali. There are 11 economic principles of Kerthi Bali that are harmonious with nature, culture and people. The development model used by the researcher uses the Waterfall Model. In this study, researchers used several stages in the waterfall model, including requirements, design, implementation, verification, and maintenance. The system design uses MySQL as the database as well as PHP and HTML for basic programming. This research succeeded in developing the Application of the Kerthi Bali Economy in a Web-Based Geospatial Visualization Information System. Testing the system using the Black Box Testing method, which produces all the pages tested in accordance with the expected results.

NPIPVis: A visualization system involving NBA visual analysis and integrated learning model prediction

BackgroundData-driven event analysis has gradually become the backbone of modern competitive sports analysis. Competitive sports data analysis tasks increasingly use computer vision and machine-learning models for intelligent data analysis. Existing sports visualization systems focus on the player–team data visualization, which is not intuitive enough for team season win–loss data and game time-series data visualization and neglects the prediction of all-star players. MethodsThis study used an interactive visualization system designed with parallel aggregated ordered hypergraph dynamic hypergraphs, Calliope visualization data story technology, and iStoryline narrative visualization technology to visualize the regular statistics and game time data of players and teams. NPIPVis includes dynamic hypergraphs of a teamʹs wins and losses and game plot narrative visualization components. In addition, an integrated learning-based all-star player prediction model, SRR-voting, which starts from the existing minority and majority samples, was proposed using the synthetic minority oversampling technique and RandomUnderSampler methods to generate and eliminate samples of a certain size to balance the number of allstar and average players in the datasets. Next, a random forest algorithm was introduced to extract and construct the features of players and combined with the voting integrated model to predict the all-star players, using Grid-SearchCV, to optimize the hyperparameters of each model in integrated learning and then combined with five-fold cross-validation to improve the generalization ability of the model. Finally, the SHapley Additive exPlanations (SHAP) model was introduced to enhance the interpretability of the model. ResultsThe experimental results of comparing the SRR-voting model with six common models show that the accuracy, F1-score, and recall metrics are significantly improved, which verifies the effectiveness and practicality of the SRR-voting model. ConclusionsThis study combines data visualization and machine learning to design a National Basketball Association data visualization system to help the general audience visualize game data and predict all-star players; this can also be extended to other sports events or related fields.

THE EFFECT OF THE USE OF SIMULTANEOUS COMMUNICATION TECHNOLOGIES IN THE JURISDICTION ON THE EFFICIENCY OF CORPORATE COMMUNICATION: THE CASE OF SEGBIS ERZURUM

İnsanların mekân sınırlaması olmaksızın gerçek zamanlı yüz yüze iletişim kurabilme kabiliyeti kazanması, video konferans sistemlerini küresel ölçekte önemli bir konuma getirmiştir. 2011 yılında yargılama faaliyetlerinin yürütülmesi sırasında kullanılmak üzere Adalet Bakanlığı tarafından geliştirilerek kullanılama sunulan Ses ve Görüntü Bilişim Sistemi (SEGBİS), kamu kurum ve kuruluşları bünyesinde kullanılan özgün video konferans sistemlerinden biri olmuştur. Bu çalışma eş zamanlı iletişim teknolojilerinden biri olan Ses ve Görüntü Bilişim Sistemi (SEGBİS)’nin yargılama faaliyetlerinde kullanımının kurumsal iletişimin verimliliğine etkisini tespit etme amacına yöneliktir. Araştırmada SEGBİS üzerinden yapılan yargılamalarda, sürecin aktörleri olan hâkim, Cumhuriyet savcısı, avukat ve kullanıcı destek personelinin bu teknolojiyi kullanma becerileri, tutum ve davranışlarından yola çıkılarak eş zamanlı iletişim teknolojilerinin kurumsal iletişimin verimliliğine etkisi tespit edilmiştir. Nitel araştırma yöntemlerinden araçsal durum çalışması deseni ile yürütülen çalışmada, Erzurum Bölge Adliye Mahkemesi’nde görev yapan hâkim, Cumhuriyet savcısı, kullanıcı personel ve duruşma avukatlarıyla yüz yüze görüşme ve SEGBİS duruşma gözlemlerinden oluşan iki veri toplama aracı kullanılmıştır. Çalışma sonucunda SEGBİS kullanımının; zamanı verimli kullanma, soruşturma evresinde hız ve pratiklik, acil iş ve işlemlerde kolaylık ve ekonomik katkı alanlarında kurumsal iletişim verimliliğini arttırdığı bulgularına ulaşılmıştır.

Design and Application of Multi-Dimensional Visualization System for Large-Scale Ocean Data

With the constant deepening of research on marine environment simulation and information expression, there are higher and higher requirements for the sense of the reality of ocean data visualization results and the real-time interaction in the visualization process. Aiming at the challenges of 3D interactive key technology and GPU-based visualization algorithm technology, we developed a visualization system for large-scale 3D marine environmental data. The system realizes submarine terrain rendering, contour line visualization, isosurface visualization, section visualization, volume visualization and flow field visualization. In order to manage and express the data in the system, we developed a data management module, which can effectively integrate a large number of marine environmental data and manage them effectively. We developed a series of data analysis functions for the system, such as point query and line query, local analysis and multi-screen collaboration, etc. These functions can effectively improve the data analysis efficiency of users and meet the data analysis needs in multiple scenarios. The marine environmental data visualization system developed in this paper can efficiently and intuitively simulate and display the nature and changing process of marine water environmental factors.

Controlled Optoelectronic Response in van der Waals Heterostructures for In‐Sensor Computing

AbstractIn‐sensor computing with visual information, which can integrate photo‐sensing, data storage, and computation functions within the same physical element, has promised a fundamentally different architecture for future machine vision technology with extreme energy and time efficiency. The elementary devices required to fulfil the goal of such a new sensory computation scheme would demand a bold functional variation to the existing sensor and data processing hardware. Here, a van der Waals (vdW) heterostructure‐based optoelectronic transistor that can act as an integrated photoreceptor, memory, and computation unit by exploiting its own physical attributes is demonstrated. It is found that diverse photoelectric control of device conductance can lead to versatile photoresponse characteristics, including memristive behaviors, retention‐, polarity‐ and strength‐tunable photoconductance, photoelectric‐coupling effect, etc. Exploiting the photoelectric‐coupling effect, reconfigurable and nonvolatile optoelectronic logic functions are realized in this device, featuring a logic‐in‐sensor unit. With the same device, both short‐ and long‐term synaptic plasticity can be faithfully emulated, rendering it an optoelectronic synaptic transistor. Moreover, a psychologic human memory model is implemented with the device, showing the emulation of memorization and learning processes. This prototypical demonstration provides a promising hardware system for visual information in‐sensor computing capable of addressing complex computation tasks.