Visualization Model Research Articles

Deep Learning-Empowered Clinical Big Data Analytics in Healthcare Digital Twins.

With the rapid development of information technology, great changes have taken place in the way of managing, analyzing, and using data in all walks of life. Using deep learning algorithm for data analysis in the field of medicine can improve the accuracy of disease recognition. The purpose is to realize the intelligent medical service mode of sharing medical resources among many people under the dilemma of limited medical resources. Firstly, the Digital Twins module in the Deep Learning algorithm is used to establish the medical care and disease auxiliary diagnosis model. With the help of the digital visualization model of Internet of Things technology, data is collected at the client and server. Based on the improved Random Forest algorithm, the demand analysis and target function design of the medical and health care system are carried out. Based on data analysis, the medical and health care system is designed using the improved algorithm. The results show that the intelligent medical service platform can collect and analyze the clinical trial data of patients. The accuracy of improved ReliefF & Wrapper Random Forest (RW-RF) for sepsis disease recognition can reach about 98%, and the accuracy of algorithm for disease recognition is also more than 80%, which can provide better technical support for disease recognition and medical care services. It provides a solution and experimental reference for the practical problem of scarce medical resources.

Progress in materials for 3D printing

The realm of 3D printing is rapidly evolving, offering a wide range of options from typical thermoplastics to advanced graphene-based composites. This technology improves production efficiency and gives consumers more control over customizing products and specifications. However, alongside its transformative potential, 3D printing also presents challenges, such as potential impacts on manufacturing jobs and security issues. Since its modest beginnings in developing visualization models, 3D printing has evolved to transform the manufacturing of distinct devices, implants, tissue engineering scaffolds, and drug delivery systems. This paper explores the most recent progress in 3D printing materials, including smart materials, ceramics, electronics, biomaterials, and composites, emphasizing the significance of adapting to changing materials and product requirements. It delves into the complex connection between printing parameters and the characteristics of printed composite parts, providing new opportunities to improve the strength and functionality of 3D-printed components. This review highlights how 3D printing can be utilized in various industries, such as medical devices and explosives research, using materials such as titanium, aluminum, carbon fiber, and thermoplastic polyurethanes. With the continuous growth of the 3D printing field, it is essential to adopt new methods and materials to fully realize its impact on the future of manufacturing and product development.

ЗАКАТ ЭСТЕТИКИ БУДУАРА. СОВЕТСКИЙ СУБЪЕКТ В ЛАБИРИНТЕ ДЕКОРАТИВНОЙ ИСТОРИИ И КУЛЬТУРНАЯ РЕВОЛЮЦИЯ 1990-Х ГОДОВ В РОССИИ

Thearticle examines the Russian television series “Queen Margot” and “Comtesse De Montsoreau” in the context of socio-cultural changes that took place in Russia in the 1980s –1990s. The artistic style of these TV projects is studied in comparison with the French and Soviet traditions of film adaptations of works by A. Dumas. French cinema and television in the second half of the twentieth century was characterized by a movement from light semi-comedy productions to deep reconstruction, immersing the viewer in the historical context of the era. In the Soviet Union, there was a special artistic style of film adaptations, to the detriment of historicity, emphasizing the elements of theatrical decorativeness inherent in the writer’s work. These techniques, like the “Aesopian language” of Soviet literature, successfully helped film and television figures to circumvent the taboos and prohibitions that existed in Soviet culture. In the 1990s, there was a revolution-like change in the functional tasks of domestic television. Despite the preservation of inertial motion in the same stylistic direction for some time, as evidenced by the above-mentioned television series, there is a gradual disintegration of the foundations of the Soviet visualization model. Russian television has increasingly become a part of the cultural industry, while losing its former distinctive features.

Do Cyber security, Digitalisation and Data Visualisation Affect the Quality of Internal Environmental Audits?

Introduction/Main Objectives: This research was conducted to provide empirical evidence regarding the analysis of the influence of cyber security, digitalisation, and data visualisation on the quality of internal environmental audits. Background Problems: Some data finds that many hotel industries are still polluting and not managing waste properly according to applicable regulations. So, it is necessary to carry out an internal environmental audit as a reference material for making management decisions. Novelty: Researchers raised variables based on technological sophistication that were not previously considered in audit research. Another novelty is that the research was conducted in the context of service companies in developing countries. Research Methods: Research was conducted at 300 star hotels in Bali. The data collection technique uses a survey mechanism with the help of a questionnaire as a research instrument. Findings/Results: The results of this research show that cyber security, digitalisation, and data visualisation have a significant positive effect on the quality of hotels’ internal environmental audits. Conclusion: Based on empirical findings, it can be concluded that cyber security, digitalisation and data visualisation have a significant positive effect on the quality of internal environmental audits. Therefore, the increasing use of cyber security, managerial digitalisation, and adoption of data visualisation models will improve the quality of internal environmental audits, which can be used by management as a guide in decision making and communication with stakeholders.

The Impact of Virtual Reality Technology in Improving English Language Proficiency

Abstract As an online virtual learning environment based on virtual reality technology, the 3D virtual classroom provides a complete learning system for students to study, discuss, and collaborate, which can better improve their English language skills. The article firstly researches the 3D visualization modeling technology of Multigen Creator, and then the 3D virtual classroom environment is embedded in the network to complete the construction of the basic English teaching environment, which can help students to complete the English communication and collaborative learning in the virtual classroom environment. The article concludes with an empirical test of the application effect of using the virtual classroom environment in English language proficiency improvement and finds that after using the virtual classroom environment for English learning, students’ comprehensive language proficiency is improved, which is reflected in the improvement of language expression ability, and students’ total average score is increased from 3.03 to 3.50 points. The pre-test showed an increase in the student’s language learning experience from 2.96 to 3.83 points. It can be concluded that virtual reality technology plays a good role and influences in improving English language proficiency.

Construction of water supply and drainage fire water system of construction project under BIM technology

Abstract The drainage and firefighting water systems are critical components of construction projects. Due to the complexity and multitude of piping systems, issues such as impractical space arrangements and pipeline collisions can arise during construction. BIM technology enhances the design quality and efficiency of these systems through parametric integration of building information and three-dimensional visualization modeling. Based on this research background, this paper firstly constructs the model of water supply and drainage and fire fighting water based on BIM technology, plays the scalability of Revit, carries out the secondary development of Revit, and completes the program development of water supply and drainage, and fire fighting water pipeline height detection and pipeline automatic avoidance function by combining with C# language. This paper takes a building in the Shangcheng District of Hangzhou City to conduct empirical research, and the results show that collision detection through BIM technology saves a lot of time, improves efficiency significantly, and has higher detection accuracy. In addition, this paper utilizes a comprehensive evaluation system to objectively evaluate the effects of drainage and firefighting water construction in construction projects based on BIM technology. This study uses BIM technology to realize further development and exploration in the process of building drainage and fire water construction, reduce the conflict points in the process of drainage and fire water design, and improve the detection efficiency and accuracy in the design process.

Effective Visualization of Data Structures in Graph Databases

To efficiently store data where the relationships between individual objects are essential, the use of a graph database model is recommended. After storing the data, it is necessary to further analyze it using statistical methods or visualize it within the context of exploratory data analysis. Such visualization is crucial for understanding the structure and content of the database. However, commonly used visualization tools often fall short in terms of interactivity and effectiveness. The main objective of the presented work is the design and implementation of a novel model for the visualization of data structures stored in graph databases with the use of two natural graphical models—the standard topological layout of the database and the so-called clustered layout of a graph database. The presented graphical models are focused on interactive visualization, mainly scaling of visualization and development of database objects, and principles of effective visualization. Implementation of the proposed approach was evaluated via case studies on three model graph databases of various sizes—Messaging database (16 objects, 16 relationships), Library database (16 objects, 32 relationships) and Movie database (171 objects, 253 relationships). Compared to the standard Neo4j tool for the visual representation of property graphs in graph databases, the proposed model presents improvement in terms of the number of visualization models, effectivity of the visualization, and development of objects in the visualized database.

Rapid visualization of large arrays of heterogeneous data of cyber security events

The paper discusses the problem of operational design of data visualization for visual analysis of large arrays of heterogeneous data from information security systems. Since security systems today process large volumes of heterogeneous data, proper visualization is required to work more effectively with this data. For this reason, prototypes of rapid visualization components have been developed and presented for various information security tasks, which will allow the operator to visually search for anomalies and investigate security incidents. Moreover, an additional classification of visualization models has been developed, which will allow developers of such systems to select models that are most suitable for solving a specific problem.

Meta-Universe Enabled Digital Modeling for Urban 3D Reality Visualization

Abstract The rapid acquisition of 3D data with high accuracy and efficiency, along with the reduction of production cycles and costs, are pressing challenges in the field of 3D reality modeling. This paper introduces a novel approach for urban 3D real-view modeling from a metacosmic perspective. Utilizing tilt-shift photography technology, this method captures three-dimensional data of urban scenes under the meta-universe framework. The data are then processed through an integration principle, combining DOM (Digital Orthophoto Map), DEM (Digital Elevation Model), and vector data to filter out interference. Subsequently, a high-density digital point cloud is generated using tilted imagery combined with aerial triangulation. This point cloud, along with a TIN (Triangulated Irregular Network) model, facilitates the construction of a comprehensive three-dimensional visualization model of urban environments, enabling detailed digital analysis. Data presentation demonstrates that with an increase in the number of image control points, the planimetric error decreases from 0.0536 m to 0.0388 m, reflecting a 27.61% improvement. Similarly, elevation accuracy improves from 0.0927 m to 0.0539 m, marking a 41.86% enhancement. This methodology supports the creation of highly precise and cost-effective three-dimensional realistic models of urban built-up areas, providing robust data support for the development and management of smart cities.

Designing Data Visualization System Based on Language-Oriented Approach

The data visualization method based on a language-oriented approach is proposed. An analysis of data visualization tools and their customizability for subject areas based on user needs has been carried out. It is noted that these tools require highly qualified users to customize the data visualization format (users must have programming skills). It is proposed to customize visualization tools to the needs of users and the specifics of the user's tasks being solved by creating domain-specific languages (DSL). A system architecture based on the use of multifaceted ontology is described. The ontology includes descriptions of languages and domains, as well as rules for generating new languages and transforming constructed models. Languages are designed to describe different classes of diagrams. This system includes tools for automatic new DSL generation via mapping domain ontology onto the base language metamodel according to user-specified rules. Different types of diagrams have been classified and the main components of each type diagrams have been identified, which provides the basis for creating an ontology of data visualization languages. A base language is proposed for creating diagrams. The language customizability for specific domains is demonstrated. An example of the created data visualization models is shown.

Three-dimensional Visualisation of Cultural Landscape under the Perspective of Culture and Tourism Integration

Abstract The three-dimensional visualization evaluation of cultural landscape has practical needs and theoretical significance in today’s world. Based on the perspective of cultural and tourism integration, the study adopts the method of stepwise regression analysis to explore the factors influencing the satisfaction of cultural landscape with a historical and cultural neighborhood landscape as the research sample. On this basis, it discusses the 3D visualization modeling process of cultural landscapes. It realizes the 3D visualization construction of a historical and cultural park, uses a questionnaire survey to collect relevant data, combines the principal component analysis method and IPA model to evaluate its visualization results, and divides different elemental functions. As a result, nine influencing factors with significant impact on the satisfaction of cultural landscape were obtained, with architectural style, traffic accessibility, and landscape scope being the most prominent, and the regression coefficients were 0.589, 0.435, and 0.367, respectively. The key performance elements of the three-dimensional visualization of the cultural landscape need to be improved, such as the reasonableness of the historical inference, the applicability of the technology, the sense of place, the sense of reality, the sense of aesthetics, the interactivity, and so on. The research presented in this paper can offer insights and lessons for the future design of cultural landscapes and their 3D visualization process.

Visualization research of modern ceramic production art based on 3D modeling technology

Abstract This paper is based on the research of visual shell related technology of 3D modeling method to extract the corresponding points of the graphical shell, through matching, filtering and denoising operations, to obtain the accurate 3D visualization model and provide new creative ideas and paths for contemporary ceramic art. In the actual ceramic membrane visualization feature extraction, six feature quantities of ceramic membrane, namely, area, aspect ratio, area perimeter, circularity, diagonal length, and angular second-order moments, can be obtained. The application of the visualization technique proposed in this paper to teaching ceramic production art was assessed by the performance of the knowledge answer questions. Regarding the average score, the experimental group (75.5) performed significantly better than the control group (63.6). Significant differences were found between the experimental and control groups in mental rotation (P=0.03<0.05), spatial visualization (P=0.006<0.05), and spatial reasoning skills (F=6.98, P=0.014<0.05). However, the two groups had no significant difference in spatial orientation (P=0.13>0.05). This suggests that the immersive learning environment of visualization technology can significantly enhance learners’ spatial reasoning skills, mental rotation, and spatial orientation.

Research on high-precision interior decoration design visualization model based on BIM technology

Research on high-precision interior decoration design visualization model based on BIM technology

The importance of visualizing plant life processes using modern tools

The article provides information on the possibilities of practical application of visual animation materials based on the stages and mechanisms of vital processes occurring in the life of plants. Conceptualization of reproduction, growth and development of plants is important in understanding these processes. In the study, visualization models of processes were developed using modern software tools on the example of bottom and high plants. These models can serve as additional tools for students, researchers and scientists in their research related to the life processes of plants.

Storychart: A Character Interaction Chart for Visualizing the Activities Flow

Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interactions. This paper proposes a chart to visualize the activities' flow to describe the characters' interactions in an activity journal. This chart is called a storychart. Storycharts have an actor channel that can accept single entities or teams. The actor channel allows changing the type from single to a team or vice versa and moving members to other teams. The activity channel serves as a connector to accommodate interactions between actors. The activity channel provides a visual space for the elements of what, where, and when. Event predicates are the core of what. Therefore, the storychart visualizes the event predicate using glyphs to attract the reader’s attention. The main contribution of this paper is to introduce a team channel that can visualize the identity of team members and an activity channel that can visualize the details of events. We invited participants to discover the reader’s perception of the ease of team recognition and the integrity of the meaning of the narrative visualized by the storychart. Participants involved in the evaluation were filtered by literacy score. Evaluation of storychart reading showed that readers could easily distinguish teams from single actors, and storycharts could convey the story in the activity journal with little reduction in meaning.

Storychart: A Character Interaction Chart for Visualizing the Activities Flow

Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interactions. This paper proposes a chart to visualize the activities' flow to describe the characters' interactions in an activity journal. This chart is called a storychart. Storycharts have an actor channel that can accept single entities or teams. The actor channel allows changing the type from single to a team or vice versa and moving members to other teams. The activity channel serves as a connector to accommodate interactions between actors. The activity channel provides a visual space for the elements of what, where, and when. Event predicates are the core of what. Therefore, the storychart visualizes the event predicate using glyphs to attract the reader’s attention. The main contribution of this paper is to introduce a team channel that can visualize the identity of team members and an activity channel that can visualize the details of events. We invited participants to discover the reader’s perception of the ease of team recognition and the integrity of the meaning of the narrative visualized by the storychart. Participants involved in the evaluation were filtered by literacy score. Evaluation of storychart reading showed that readers could easily distinguish teams from single actors, and storycharts could convey the story in the activity journal with little reduction in meaning.

A study on the designs of baffles-enhanced gas transfer inside Chlorella vulgaris airlift photobioreactors and flow visualisation modelling

Microalgae play a crucial role as bioresources, yet the culture systems of photobioreactors (PBR) encounter challenges. Many engineered PBRs tend to incorporate internals build-ups, serving photoautotroph production, and requiring substantial microalgal biomass. This study quantified the baffle effects on airlift flat plate PBRs based on the performance of Chlorella vulgaris. The impacts of baffle configurations, air velocity, and CO2 contents, three dominant parameters, on microalgae culture were investigated using culture experiments, numerical simulations, and flow visualisation techniques. The results demonstrate that multiple baffle design strategies enhance microalgae growth and production. On the 11th cultivation day, airflow rates of 6, 45, or 90 L/h produced 1.5, 3.0, or 1.9 times the biomass weight and 1.76 × 107 cell numbers/mL in PBRM with 24 baffles, compared to 1.44 × 107 cell numbers/mL in PBRC without baffles. Furthermore, it revealed an intensification in the generation potential of biocomponents with C–H, C = O, and C–O–C functional groups at a 45−50 L/h airflow rate and CO2 (20 %) aerated PBRM. Additionally, it presented the first visualisation explanation of the baffle-guided vortex flow pair symmetry PBRM. This study demonstrated enhancements by modelling newly proposed PBRs with baffles and high-valued bioproducts harvesting through the combination of culture parameters.

A data‐driven assessment of mobile operator service quality in Ghana

AbstractThe rapid proliferation of mobile services has increased the need for data‐driven oversight of service quality, yet deriving insights from regulator‐collected datasets remains challenging. This study demonstrates techniques to tap the rich potential of drive test measurement data for analytical regulatory and policy decision‐making. Focusing on leading operator MTN in Ghana, we analyzed 4 years of drive test data supplied by the telecom regulator for the capital city of Accra. Three key performance indicators were evaluated—coverage, call setup time, and speech quality. We assessed service quality trends through statistical summaries, data visualization, and machine learning modeling and predicted speech quality scores. Our analysis revealed deteriorating performance post‐2019 and found that the light gradient boosting machine algorithm provided the highest accuracy predictions of speech quality. Overall, this work showcases how regulators can capitalize on vast datasets using big data mining techniques to evaluate network conditions over time and geography, enhancing field measurements for oversight. Our approach and techniques provide a template for evidence‐based policy‐making to uphold consumer service quality as mobile networks evolve.

Storychart: A Character Interaction Chart for Visualizing the Activities Flow

Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interactions. This paper proposes a chart to visualize the activities' flow to describe the characters' interactions in an activity journal. This chart is called a storychart. Storycharts have an actor channel that can accept single entities or teams. The actor channel allows changing the type from single to a team or vice versa and moving members to other teams. The activity channel serves as a connector to accommodate interactions between actors. The activity channel provides a visual space for the elements of what, where, and when. Event predicates are the core of what. Therefore, the storychart visualizes the event predicate using glyphs to attract the reader’s attention. The main contribution of this paper is to introduce a team channel that can visualize the identity of team members and an activity channel that can visualize the details of events. We invited participants to discover the reader’s perception of the ease of team recognition and the integrity of the meaning of the narrative visualized by the storychart. Participants involved in the evaluation were filtered by literacy score. Evaluation of storychart reading showed that readers could easily distinguish teams from single actors, and storycharts could convey the story in the activity journal with little reduction in meaning.

Application of Different Python Libraries for Visualisation of Female Genital Mutilation

Utilizing data visualization facilitates the analysis and comprehension of common data provided by the media, individuals, governments, and other sectors. Python is a well-known programming language that excels at scientific data visualization. This thesis utilizes a variety of Python modules, including Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Bokeh, to illustrate female genital mutilation. The purpose of this thesis is to illustrate female genital mutilation and explain its performance pattern using a complex, interactive diagram that integrates multiple types of Python libraries. In comparison to other libraries, Plotly is the simplest, yet it performs at the highest level. NumPy and Matplotlib are combined to produce Hexbins charts. NumPy provides an N-dimensional plot, and Matplotlib allows for the plot's colours to be customized. Despite its limited customization options, the Seaborn library is suitable for both data visualization and statistical modelling. Due to this deficiency, the Seaborn library is frequently combined with Matplotlib to generate superior visualizations. As a result, this thesis will be recommended to both specialists and novices as worthwhile reading. In addition, it will assist the government in drafting legislation to end female genital mutilation. They will comprehend the significance of combining multiple Python modules to generate intricate interactive diagrams for data visualization in the field of data science. This information will be posted online to contribute to the corpus of knowledge.