Overview Of Visualization Research Articles

증강현실 기술과 북 디자인 시각화에 관한 연구

With the advent of the era of integrated media, augmented reality(AR) has been applied in many fields, and has put forward innovative requirements for traditional design forms. The research goal of this paper is to integrate AR technology to realize the visualization of book design, provide new possibilities for new forms of book design, create emotional resonance for consumers, and have certain reference value for the development of book design and the sustainable development of cultural industry. First, this paper uses literature analysis, case analysis, empirical analysis, and questionnaire survey methods to give a relevant overview of AR technology and book design visualization, analyze its research status and application cases. Secondly, using the model hypothesis method, a research model of AR technology and book design visualization was constructed, and the feasibility of the model was analyzed. Finally, the results were evaluated and verified using the survey questionnaire and PSSUQ usability scale. The following conclusions were drawn through the study. First, AR technology can break through the limitations of book design, prompt consumers to change from passive reading to active interaction, broaden the reading perspective, attract more participants, and increase the reading rate. Second, establishing a book design visualization system model with AR technology will have important significance and role, and the model will provide reference value for designers' innovative design concepts. Bring consumers a rich and multi-dimensional interactive experience and adapt to new trends in future development.

An overview of data visualization: prospects for the manufacturing sector

An overview of data visualization: prospects for the manufacturing sector

An extended taxonomy of advanced information visualization and interaction in conceptual modeling

Conceptual modeling is integral to computer science research and is widely adopted in industrial practices, e.g., business process and enterprise architecture management. Providing adequate and usable modeling tools is necessary to adopt modeling languages efficiently. Meta-modeling platforms provide a rich and mature set of functionalities for realizing state-of-the-art modeling tools. These tools, albeit their stability and rich set of features, often lack a modern look and feel considering (i) how they visualize the models, and (ii) how modelers interact with the models. Current web technologies enable much richer, advanced opportunities for visualizing and interacting with conceptual models. However, a structured and comprehensive overview of possible information visualization and interaction techniques linked to conceptual models and modeling tools must be established. This paper aims to fill this gap by presenting an extended taxonomy of advanced information visualization and interaction in conceptual modeling. We present a generic taxonomy that is afterward contextualized within the specific domain of conceptual modeling. The taxonomy serves orientation in the vast developing field of information visualization and interaction and hopefully sparks innovation if future modeling tool development.

Overview of High-Performance Thin Layer Chromatography and its Applications in Pesticide Analysis

Abstract: In recent decades, increased demand for food has been caused by a rapid rise in the human population, which triggers agricultural intensification. To resist undesired pests from infecting crops, farmers widely utilize pesticides to improve agricultural production during the pre-harvest period. Despite the fact that pesticides cause a number of health risks, there is insufficient monitoring of these toxins. Therefore, it is important to develop a specific, accurate, and efficient method for determining the pesticides in varied samples in order to safeguard health against potential risks. Due to the lower concentrations of active compounds and their diversity of availability, it is challenging to detect pesticide residues in different samples. In this case, to effectively separate, identify, and accurately quantify pesticides at low concentrations in a variety of samples, a reliable analytical methodology is needed. Recently, the application of high-performance thin layer chromatography (HPTLC) offers a wider scope with excellent separation, identification, and quantitative/qualitative determination in pesticide analysis. In spite of their extremely low quantities, pesticide residues can be accurately and precisely identified using HPTLC. HPTLC has a number of benefits, such as easy sample preparation, automation, densitometry, and hyphenation, and is particularly well suited for identification and detection. Concerning this, the proposed review paper provides an overview of stationary phases, mobile phases, sample applicators, visualization, derivatization, and detection of HPTLC utilized for the identification and detection of pesticide residues in agriculture and environmental samples.

Uncertainty visualization: Fundamentals and recent developments

Abstract This paper provides a brief overview of uncertainty visualization along with some fundamental considerations on uncertainty propagation and modeling. Starting from the visualization pipeline, we discuss how the different stages along this pipeline can be affected by uncertainty and how they can deal with this and propagate uncertainty information to subsequent processing steps. We illustrate recent advances in the field with a number of examples from a wide range of applications: uncertainty visualization of hierarchical data, multivariate time series, stochastic partial differential equations, and data from linguistic annotation.

Uncertainty Visualization: Concepts, Methods, and Applications in Biological Data Visualization

This paper provides an overview of uncertainty visualization in general, along with specific examples of applications in bioinformatics. Starting from a processing and interaction pipeline of visualization, components are discussed that are relevant for handling and visualizing uncertainty introduced with the original data and at later stages in the pipeline, which shows the importance of making the stages of the pipeline aware of uncertainty and allowing them to propagate uncertainty. We detail concepts and methods for visual mappings of uncertainty, distinguishing between explicit and implict representations of distributions, different ways to show summary statistics, and combined or hybrid visualizations. The basic concepts are illustrated for several examples of graph visualization under uncertainty. Finally, this review paper discusses implications for the visualization of biological data and future research directions.

Coordination Ring-Opening Polymerization of Cyclic Esters: A Critical Overview of DFT Modeling and Visualization of the Reaction Mechanisms.

Ring-opening polymerization (ROP) of cyclic esters (lactones, lactides, cyclic carbonates and phosphates) is an effective tool to synthesize biocompatible and biodegradable polymers. Metal complexes effectively catalyze ROP, a remarkable diversity of the ROP mechanisms prompted the use of density functional theory (DFT) methods for simulation and visualization of the ROP pathways. Optimization of the molecular structures of the key reaction intermediates and transition states has allowed to explain the values of catalytic activities and stereocontrol events. DFT computation data sets might be viewed as a sound basis for the design of novel ROP catalysts and cyclic substrates, for the creation of new types of homo- and copolymers with promising properties. In this review, we summarized the results of DFT modeling of coordination ROP of cyclic esters. The importance to understand the difference between initiation and propagation stages, to consider the possibility of polymer–catalyst coordination, to figure out the key transition states, and other aspects of DFT simulation and visualization of ROP have been also discussed in our review.

Visualisasi Pengumuman dan SOP Fakultas Ilmu Komputer Universitas Katolik Santo Thomas Medan berbasis Multimedia

Standard Operational Procedure (SOP) is a collection of instructions that function as a guide in the process of administering government, especially the Faculty section that is in a university. Through the Standard Operational Procedure (SOP) to achieve its vision and mission. Students and Lecturers in the daily activities of the Faculty of Computer Science have functions and duties, rights and obligations that must be adhered to so that the process of academic activity in the lecture runs smoothly. Students in the Faculty of Computer Science are relatively old in understanding each line of each procedure in the announcement, so that the announcements from the Faculty often do not go as expected. What is not understood is not language but the flow of the activity procedure. To understand something better, it is necessary to provide an overview of multimedia-based visualization that describes the process part in conveying information or SOP announcements so that readers of the announcement can more easily digest the announcements submitted.

To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization

While missing data is a commonly occurring issue in many domains, it is a topic that has been greatly overlooked by visualization scientists. Missing data values reduce the reliability of analysis results. A range of methods exist to replace the missing values with estimated values, but their appropriateness often depend on the patterns of missingness. Increased understanding of the missingness patterns and the distribution of missing values in data may greatly improve reliability, as well as provide valuable insight into potential problems in data gathering and analyses processes, and better understanding of the data as a whole. Visualization methods have a unique possibility to support investigation and understanding of missingness patterns by making the missing values and their relationship to recorded values visible. This article provides an overview of visualization of missing data values and defines a set of three missingness patterns of relevance for understanding missingness in data. It also contributes a usability evaluation which compares visualization methods representing missing values and how well they help users identify missingness patterns. The results indicate differences in performance depending on the visualization method as well as missingness pattern. Recommendations for future design of missing data visualization are provided based on the outcome of the study.

A survey of virtual human anatomy education systems

This survey provides an overview of visualization and interaction techniques developed for anatomy education. Besides individual techniques, the integration into virtual anatomy systems is considered. Web-based systems play a crucial role to enable learning independently at any time and space. We consider the educational background, the underlying data, the model generation as well as the incorporation of textual components, such as labels and explanations. Finally, stereoscopic devices and first immersive VR solutions are discussed. The survey comprises also evaluation studies that analyze the learning effectiveness.

Knowledge Discovery and Data Visualization

This article reviews the literature in the search for the theories and perspectives of knowledge discovery and data visualization. The literature review highlights the overview of knowledge discovery; Knowledge Discovery in Databases (KDD); Knowledge Discovery in Textual Databases (KDT); the overview of data visualization; the significant perspectives on data visualization; data visualization and big data; and data visualization and statistical literacy. Knowledge discovery is the process of searching for hidden knowledge in the massive amounts of data that individuals are technically capable of generating and storing. Data visualization is an easy way to convey concepts in a universal manner. Organizations, that utilize knowledge discovery and data visualization, are more likely to find both knowledge and information they need when they need them. The findings present valuable insights and further understanding of the way in which knowledge discovery and data visualization efforts should be focused.

Bottom up proteomics data analysis strategies to explore protein modifications and genomic variants.

The quest to understand biological systems requires further attention of the scientific community to the challenges faced in proteomics. In fact the complexity of the proteome reaches uncountable orders of magnitude. This means that significant technical and data-analytic innovations will be needed for the full understanding of biology. Current state of art MS is probably our best choice for studying protein complexity and exploring new ways to use MS and MS derived data should be given higher priority. We present here a brief overview of visualization and statistical analysis strategies for quantitative peptide values on an individual protein basis. These analysis strategies can help pinpoint protein modifications, splice, and genomic variants of biological relevance. We demonstrate the application of these data analysis strategies using a bottom-up proteomics dataset obtained in a drug profiling experiment. Furthermore, we have also observed that the presented methods are useful for studying peptide distributions from clinical samples from a large number of individuals. We expect that the presented data analysis strategy will be useful in the future to define functional protein variants in biological model systems and disease studies. Therefore robust software implementing these strategies is urgently needed.

Network visualization in cell biology

Many of the processes known to take place in biological cells are analyzed in the form of different types of network. The complexity of these networks increases along with our knowledge of these processes, making their analysis more difficult. Network visualization is a powerful analysis method that will have to be developed further to deal with this complexity. This survey provides a brief overview of network visualization in general, followed by an in-depth discussion of its application to three network types specific to cell biology, namely gene regulatory, protein interaction, and metabolic networks. Finally, we discuss the difficulty of visually integrating these network types and trying to compare networks of cells that belong to different organisms.

Survey of network security visualization techniques

Network security visualization is a highlighted topic of network security research in recent years. The necessity of network security visualization was presented firstly, and then an overview of network security visualization including the concepts, steps, taxonomy, many current algorithms, and their advantages and disadvantages were presented . Finally, the existing problems and the future directions in this field were discussed.

The state of the art in the analysis of two-dimensional gel electrophoresis images

Software-based image analysis is a crucial step in the biological interpretation of two-dimensional gel electrophoresis experiments. Recent significant advances in image processing methods combined with powerful computing hardware have enabled the routine analysis of large experiments. We cover the process starting with the imaging of 2-D gels, quantitation of spots, creation of expression profiles to statistical expression analysis followed by the presentation of results. Challenges for analysis software as well as good practices are highlighted. We emphasize image warping and related methods that are able to overcome the difficulties that are due to varying migration positions of spots between gels. Spot detection, quantitation, normalization, and the creation of expression profiles are described in detail. The recent development of consensus spot patterns and complete expression profiles enables one to take full advantage of statistical methods for expression analysis that are well established for the analysis of DNA microarray experiments. We close with an overview of visualization and presentation methods (proteome maps) and current challenges in the field.

Overview: Reservoir Simulation and Visualization (June 2006)

In last year's overview of Reservoir Simulation and Visualization, the focus was on technology designed to handle the ever-increasing volumes of data that are readily available for use by reservoir engineers. This trend has continued and has resulted in some extremely innovative adaptations of technology toward reservoir management. Large volumes of data produce large models, which in turn produce large amounts of simulation results. This large volume of simulation results is difficult to analyze by conventional means. Significant improvements have been made by extending the methods of analysis of reservoir-simulation results to use the senses of hearing and touch, in addition to sight, to better understand the mechanisms at work in large full-field models. Research has been done with methods of artificial intelligence to predict reservoir performance, such as the training of neural networks. It is essential that research continues in these innovative areas as the industry strives to maximize production to meet market demands. On the traditional front, important research has continued in the area of grid coarsening and scaleup to reduce model sizes to more-manageable levels. Significant contributions have been made by both industry and academia, with improved methods for selecting layers for grouping and with new algorithms for including additional reservoir flow characteristics in the scaleup calculations. As computing power continues to increase, the inclusion of compositional fluids and geomechanical effects in full-field reservoir models is becoming more feasible. Workflows continue to be invaluable to reservoir management. With the ambitious goal of simulating the geological model, significant work remains to enable seamless transition of geological models through to numerical simulation. As the industry continues to move closer to this goal, we will also move closer to the ultimate goal of managing risk and uncertainty better. Ongoing work to provide the tools to understand both the input and the output of these large models will largely determine the success of this endeavor. Reservoir Simulation and Visualization additional reading available at the SPE eLibrary: www.spe.org SPE 96410 "Reservoir Simulation and Reserves Classifications—Guidelines for Reviewing Model History Matches To Help Bridge the Gap Between Evaluators and Simulation Specialists," by D. Rietz, SPE, Ryder Scott Co., et al. SPE 94319 "Improved Coarse-Grid Generation Using Vorticity," by H. Mahani, SPE, Imperial College London, et al. SPE 97155 "How To Approximate Effects of Geomechanics in Conventional Reservoir Simulation," by A.T. Settari, SPE, U. of Calgary, et al. SPE 96416 "Tuning an Equation of State—The Critical Importance of Correctly Grouping Composition Into Pseudocomponents," by A.A. Al-Meshari, SPE, Saudi Aramco, et al.

Exploration and Analysis of DNA Microarray and Protein Array Data. Dhammika Amaratunga and Javier Cabrera. Hoboken, NJ: Wiley-Interscience-John Wiley and Sons, Inc., 2004, 260 pp., $84.95, hardcover. ISBN 0-471-27398-8.

The field of genomics has exploded in the past five years, largely as a result of the development of microarray technologies. Scientists in biomedical research who use global expression profiling are now facing the daunting task of making sense of microarray data. This book aims at answering that need by providing the reader with an extensive overview of different computational, visualization, and statistical methods currently used for microarray data analysis. Both authors were trained as statisticians at Princeton University. This thorough book covers most of the strategies currently used in the field of expression array data analysis. Sometimes …

Geographical visualization: Past, present and future development

Geographical Visualization has formalised the use of New Media and digital technologies for depicting geography. Powerful and innovative tools enable users to explore geographical information and to appreciate both ‘broadbrush’ geographical concepts and discrete and associated geographical phenomena. Since the late 1980s interest has grown in developing geographical visualization tools to assist in personal and collaborative use of the myriad of data sets available about things geographical. This has resulted in the conceptualisation of different theoretical approaches to what we do, and new ways for viewing and using geographical information. This paper provides an overview of geographical visualization and how it has, is and can be used. It also addresses the need for geographical visualization producers to embrace a closer collaboration with the GIScience community so as to provide tools that are based on the strong analytical applications of GIS packages. And, it highlights the need for applying the techniques of user‐centered design to ensure that usable geospatial products are created and delivered.

Parallel visualization of gigabyte datasets in GeoFEM

AbstractAn initial overview of parallel visualization in the GeoFEM software system is provided. Our visualization subsystem offers many kinds of parallel visualization methods for the users to visualize their huge finite‐element analysis datasets for scalar, vector and/or tensor fields at a reasonable cost. A polygonal simplification scheme is developed to make the transmission and rendition of output graphic primitives more efficient. A salient feature of the subsystem lies in its capability in the automatic setting of visualization parameter values based on the analysis of scalar/flow field topology and volumetric coherence, to improve the quality of visualization results with a minimized number of batch re‐executions. Representative experimental results illustrate the effectiveness of our subsystem. Copyright © 2002 John Wiley & Sons, Ltd.

An overview of visualization: its use and design

An overview of visualization: its use and design