Collaborative Visualization Environment Research Articles

상업용 게임 엔진을 활용한 전투 시뮬레이션 결과의 협업 가시화

The needs for reusable 3D visualization tool has been being raised in various industries. Especially in the defense modeling and simulation (M&S) domain, there are abundant researches about reusable and interoperable visualization system, since it has a critical role to the efficient decision making by offering diverse validation and analyzing processes. To facilitate the effectiveness, states-of-the-arts M&S systems are applying VR (Virtual Reality) or AR (Augmented Reality) technologies. To reduce the work burden authors design a collaborative visualization environment based on a commercial game engine Unity3D. We define the requirements of the warfare simulation by analyzing pros and cons of existing tools and engines such as SIMDIS or Vega, and apply functionalities of the commercial game engine to satisfy the requirements. A prototype has been implemented as the collaborative visualization environment of iCAVE at KAIST, which is a facility for immersive virtual environment. The facility is intraoperative with smart devices.

A Generalized Framework for Biological Data Integration, Processing and Visualization

Massive amount of present biological datasets and their current rate of expansion demand effective ways of data storage, processing and presentation. The ever increasing nature of biological data sets has tremendously increased the complexity in data integration and presentation processes. This paper presents an experience of a unified framework development which combines complex input module with massive processing methods in a collaborative visualization environment. Our experience of the development of IDGAAM framework is presented in this paper along with functional details of AINAAN application. AINAAN is being used for collaborative environment for data sharing and more specifically for visualization purpose. The present study is an effort towards seamless integration of heterogeneous data bases with a complexity of analysis and varieties in its presentation formats.

An efficient hybrid multicast transport protocol for collaborative virtual environment with networked haptic

In recent years, we have witnessed a growing interest in the synchronous collaboration based class of applications. Several techniques for collaborative virtual environments (CVE), haptic, audio and visual environments (C-HAVE) have been designed. However, several challenging issues remain to be resolved before CVE and C-HAVE become a common place. In this paper, we focus on applications that are based on closely coupled and highly synchronized haptic tasks that require a high-level of coordination among the participants. Four main protocols have been designed to resolve the synchronization issues in such environments: the synchronous collaboration transport protocol, the selective reliable transmission protocol, the reliable multicast transport protocol and the scalable reliable multicast. While these four protocols have shown good performance for CVE and C-HAVE class of applications, none of these protocols has been able to meet all of the basic CVE requirements, i.e., scalability, reliability, synchronization, and minimum delay. In this paper, we present a hybrid protocol that is able to satisfy all of the CVE and C-HAVE requirements and discuss its implementation and results in two tele-surgery applications.

Collaborative object-oriented visualization environment

In this paper, we present a Collaborative Object-oriented Visualization Environment (COVE) which provides a flexible and extensible framework for collaborative visualization. COVE integrates collaborative and parallel computing environments based on a distributed object model. It is built as a collection of concurrent objects: collaborative and application objects which interact with one another to construct collaborative parallel computing environments. The former enables COVE to execute various collaborative functions, while the latter allows it to execute fast parallel visualization in various modes. Also, flexibility and extensibility are provided by plugging the proper application objects into COVE at run-time, and making them interact with one another through collaboration objects. For our experiment, three visualization modes for volume rendering are designed and implemented to support the fast and flexible analysis of volume data in a collaborative environment.

Special Issue: Collaborative Information Visualization Environments Guest Editors' Introduction

Special Issue: Collaborative Information Visualization Environments Guest Editors' Introduction

A vision for 3D seismic technology and visualization

Three-dimensional seismic data and visualization are the key elements of a rapid technological evolution in the remote sensing of the subsurface that has resulted in geoscientists moving from being data poor to data rich. The proliferation in subsurface data has profoundly affected the oil exploration and production industry in the last two decades. Most notably it has radically improved our ability to predict what lies beneath the Earth’s surface and, hence, reduce risk in exploration and production. One-dimensional data (wells) were supplemented by 2D data (seismic sections and maps) in the 1950s and by 3D seismic data from the 1970s onwards. However, the evolution up to this point essentially dealt with a static Earth without the fourth dimension – time. More recently came the advent of recording changes in the subsurface due to hydrocarbon extraction over time, with the use of time-lapse 4D surveying. There are also now more refined imaging techniques such as multi-component (4C) and single sensor recording. The resulting explosion of information has led to challenging questions as to how geoscientists can interact with the data to collaborate and communicate more effectively in this new data-rich world. The breadth of influence of 3D seismic data and visualization in earth sciences is likely to be far wider than the oil and gas industry. Collaborative Visualization Environments (CVEs) are already being used in universities and 3D seismic data are also being used as a research tool in many unrelated earth science disciplines. The next step will be the establishment of CVEs at schools and colleges for teaching the next generation of earth scientists. Supplementary material: The movie referred to in the article is available at https://doi.org/10.6084/m9.figshare.c.4812804

Collaboration and Visualization: Integrative Opportunities

Collaborative computing and visual computing have tremendous potential to improve human performance in both individual and team situations. However having been studied as different streams of research, the synergistic potential of these technologies has not been exploited. This paper presents a unifying conceptual model – the Collaborative Visualization Research Framework – to examine those synergies. The framework addresses the fundamental problems in collaborative and visual computing by taking a uniquely integrated approach that advances research in each area while intently investigating their interaction in collaborative visualization environments (CVEs). In the discussion of future research directions, four application domains with overlapping needs for visualization and collaboration, but with different emphases, are also profiled – business decision-making, engineering design, software design and knowledge management.

NETWORKED COLLABORATIVE ENVIRONMENT FOR HYDRO-ENGINEERING

International Journal of Computational Engineering ScienceVol. 02, No. 04, pp. 557-567 (2001) No AccessNETWORKED COLLABORATIVE ENVIRONMENT FOR HYDRO-ENGINEERINGSHIN-JYE LIANG, JIUNN-HORNG LEE, SHIH-HUNG CHEN and JR-HUANG SHIAUSHIN-JYE LIANGDepartment of Hydraulic Engineering, Feng Chia University, Taichung, Taiwan, R.O.CCorresponding author: 100 Wenhwa Road, Taichung, Taiwan, R.O.C.; Tel: +886-3-5776085; Fax: +886-3-5773538. Search for more papers by this author , JIUNN-HORNG LEENational Center for High-Performance Computing, Hsinchu, Taiwan, R.O.C Search for more papers by this author , SHIH-HUNG CHENNational Center for High-Performance Computing, Hsinchu, Taiwan, R.O.C Search for more papers by this author and JR-HUANG SHIAUNational Center for High-Performance Computing, Hsinchu, Taiwan, R.O.C Search for more papers by this author https://doi.org/10.1142/S1465876301000441Cited by:1 Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractEngineering projects are increasingly becoming more complex and have to be carried out in close cooperation among several experts from different disciplines and locations. This has resulted from a rapid progress in communication, computing, visualization, and storage technology. Research and applications of distributed computing, visualization and networked collaboration, therefore, is becoming an important subject. We present three ongoing distributed collaborative systems at the National Center for High-performance Computing in Taiwan: (1) A collaborative visualization environment which supports distributed and interactive visualization and collaboration in the three-dimensional virtual world, (2) A collaborative web browser system that creates an HTML document shared environment for supporting remote conferencing, and (3) An Internet-based distributed analysis environment that is designed for distributed simulation and visualization. We have explored and examined various computer tools and communication technologies for the development of the networked collaborative systems. Our endeavor sheds some light on the future development and applications of an efficient networked collaborative infrastructure which supports distributed computing, presentation and visualization, data and information management, documentation, and conferencing.Keywords:information technologysoftware integrationnetworked analysisvisualization and collaborationhydroinformatics FiguresReferencesRelatedDetailsCited By 1Technologies and Services in Support of Virtual WorkplacesAlan McCord and Morell D. Boone1 Jan 2008 Recommended Vol. 02, No. 04 Metrics History Keywordsinformation technologysoftware integrationnetworked analysisvisualization and collaborationhydroinformaticsPDF download

A virtual GIS-based hydrodynamic model system for Tamshui River

A computer infrastructure which integrates the geographic information system (GIS), hydrodynamic model, visualization and network applications was developed and applied in Tamshui River, Taiwan. A digital terrain model (DTM) of the study area was first generated. We used it as a basis to construct the computation grids, conduct the flow simulations, and visualize the predicted flow scenarios in the virtual world. The three-dimensional hydrodynamic and water quality model system WQMAP was employed to simulate flows under the tidal forcing, upstream river inflows and seawater–freshwater interactions of Tamshui River. Model predictions were generally in good agreement with other simulations. Computed results were visualized in both the innovative virtual reality (VR) environment and Internet-based collaborative visualization environment (CVE). The VR environment enabled us to observe firsthand the complicated flow phenomena in the virtual world. Internet-based CVE supports distributed visualization and collaboration. The GIS-based system exhibits great potential in data visualization capabilities and the improvement of water management. We anticipate that these computer technologies will popularly be applied to hydroinformatics and other related domains in the foreseeable future.

A scalable virtual environment for large scale scientific data analysis

The growing complexity and sheer amount of data resulting from supercomputer simulations increases the need for new and intuitive analysis techniques such as VR. In this paper we present a scalable VR system integrated in a distributed and collaborative visualization and simulation environment which can be used for scientific data analysis and computational steering in several application domains. After discussing the requirements for such a system we describe the basic architecture of the VR environment. We then give some examples of currently investigated application domains in the areas of water turbine optimization and space vehicle re-entry and comet impact simulation involving metacomputing on a trans-atlantic scale.

Long-Haul Communications Support for Visualization of Computational Aeroscience Simulations

This paper discusses the long-haul data communications requirements needed to support visualization of Computational Aeroscience (CAS) simulations. A scientific computing model is presented, from which current communications requirements are derived. This model is then expanded to describe the CAS collaborative visualization environment, in which scientists from multiple NASA centers will collaborate on multidisciplinary, time-accurate simulations. An analysis of this model indicates that CAS data communications requirements will increase to 10-100 megabytes/sec by 1996.

Distributed and collaborative visualization

Visualization typically involves large computational tasks, often performed on supercomputers. The results of these tasks are usually analyzed by a design team consisting of several members. Our goal is to depart from traditional single-user systems and build a low-cost scientific visualization environment that enables computer-supported cooperative work in the distributed setting. A synchronously conferenced collaborative visualization environment would let multiple users on a network of workstations and supercomputers share large data sets, simultaneously view visualizations of the data, and interact with multiple views while varying parameters. Such an environment would support collaboration in both the problem-solving phase and the review phase of design tasks. In this article we describe two distributed visualization algorithms and the facilities that enable collaborative visualization. These are all implemented on top of the distribution and collaboration mechanisms of an environment called Shastra, executing on a set of low-cost networked workstations.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>