A scalable virtual environment for large scale scientific data analysis

Numerical control machine tools are widely used in the manufacturing nowadays. The engineers often have difficulties discussing with another engineer about the problem in the CAM work, so a convenient tool for this is needed. In this paper, a framework of collaborative CAM simulation environment is presented for the goal of virtual enterprise. The main modular and key technology of them are illustrated, which include virtual part discussion environment, cutting parameter database management modular, G-code collaborative simulation modular and VRML based realistic cutting simulation modular. The prototype of system is implemented for small amount of users. In the end, the application of VRML based CAM simulation environment is discussed.

A number of disciplines (mechanics, structures, thermal, and optics) are needed to design and build Space Camera. Separate design models are normally constructed by each discipline CAD/CAE tools. Design and analysis is conducted largely in parallel subject to requirements that have been levied on each discipline, and technical interaction between the different disciplines is limited and infrequent. As a result a unified view of the Space Camera design across discipline boundaries is not directly possible in the approach above, and generating one would require a large manual, and error-prone process. A collaborative environment that is built on abstract model and performance template allows engineering data and CAD/CAE results to be shared across above discipline boundaries within a common interface, so that it can help to attain speedy multivariate design and directly evaluate optical performance under environment loadings. A small interdisciplinary engineering team from Beijing Institute of Space Mechanics and Electricity has recently conducted a Structural/Thermal/Optical (STOP) analysis of a space camera with this collaborative environment. STOP analysis evaluates the changes in image quality that arise from the structural deformations when the thermal environment of the camera changes throughout its orbit. STOP analyses were conducted for four different test conditions applied during final thermal vacuum (TVAC) testing of the payload on the ground. The STOP Simulation Process begins with importing an integrated CAD model of the camera geometry into the collaborative environment, within which 1. Independent thermal and structural meshes are generated. 2. The thermal mesh and relevant engineering data for material properties and thermal boundary conditions are then used to compute temperature distributions at nodal points in both the thermal and structures mesh through Thermal Desktop, a COTS thermal design and analysis code. 3. Thermally induced structural deformations of the camera are then evaluated in Nastran, an industry standard code for structural design and analysis. 4. Thermal and structural results are next imported into SigFit, another COTS tool that computes deformation and best fit rigid body displacements for the optical surfaces. 5. SigFit creates a modified optical prescription that is imported into CODE V for evaluation of optical performance impacts. The integrated STOP analysis was validated using TVAC test data. For the four different TVAC tests, the relative errors between simulation and test data of measuring points temperatures were almost around 5%, while in some test conditions, they were even much lower to 1%. As to image quality MTF, relative error between simulation and test was 8.3% in the worst condition, others were all below 5%. Through the validation, it has been approved that the collaborative design and simulation environment can achieved the integrated STOP analysis of Space Camera efficiently. And further, the collaborative environment allows an interdisciplinary analysis that formerly might take several months to perform to be completed in two or three weeks, which is very adaptive to scheme demonstration of projects in earlier stages.

Collaborative working during product design is highly desired to the modern globalized industry. Multi-agent System (MAS) technology is widely used to manage artificial intelligence of distributed system. Effective mechanism for self-organization of agents is important to MAS system. In this paper, a Mobile-C based agent management is introduced and applied into a collaborative visualization of product mesh models among distributed designers. This collaborative visualization environment helps to realize information exchange and cooperative visualization of product model during complex concurrent processes. A prototype is developed through a collaborative mesh simplification process.

Poland is characterised by a relatively high variety of living organisms attributed to terrestrial and water environments. Currently, close to 57.000 species of living organisms are described that occur in Poland (Symonides 2008), including lowland and mountain species, those attributed to oceanic and continental areas, as well as species from forested and open habitats. Poland comprehensively represents biodiversity of living organisms on a continental scale and thus, is considered to have an important role for biodiversity maintenance. The Mammal Research Institute of Polish Academy of Sciences (MRI PAS), located in Białowieża Forest, a UNESCO Heritage Site, has been collecting biodiversity data for 90 years. However, a great amount of data gathered over the years, especially old data, is gradually being forgotten and hard to access. Old catalogues and databases have never been digitalized or publicly shared, and not many Polish scientists are aware of the existence of such resources, not to mention the rest of the scientific world. Recognizing the need for an online, interoperable platform, following FAIR data principles (findable, accessible, interoperable, reusable), where biodiversity and scientific data can be shared, MRI PAS took a lead in creation of an Open Forest Data (OFD) repository. OpenForestData.pl (Fig. 1) is a newly created (2020) digital repository, designed to provide access to natural sciences data and provide scientists with an infrastructure for storing, sharing and archiving their research outcomes. Creating such a platform is a part of an ongoing development of life sciences in Poland, aiming for an open, modern science, where data are published as free-access. OFD also allows for the consolidation of natural science data, enabling the use and processing of shared data, including API (Application Programming Interface) tools. OFD is indexed by the Directory of Open Repositories (OpenDOAR) and Registry of Research Data Repositories (re3data). The OFD platform is based entirely on reliable, globally recognized open source software: DATAVERSE, an interactive database app which supports sharing, storing, exploration, citation and analysis of scientific data; GEONODE, a content management geospatial system used for storing, publicly sharing and visualising vector and raster layers, GRAFANA, a system meant for storing and analysis of metrics and large scale measurement data, as well as visualisation of historical graphs at any time range and analysis for trends; and external tools for database storage (Orthanc) and data visualisation (Orthanc plugin Osimis Web Viewer and Online 3D Viewer (https://3dviewer.net/), which were integrated with the system mechanism of Dataverse. Furthermore, according to the need for specimen description, Darwin Core (Wieczorek et al. 2012) metadata schema was decided to be the most suitable for specimen and collections description and mapped into a Dataverse additional metadata block. The use of Darwin Core is based on the same file format, the Darwin Core Archive (DwC-A) which allows for sharing data using common terminology and provides the possibility for easy evaluation and comparison of biodiversity datasets. It allows the contributors to OFD to optionally choose Darwin Core for object descriptions making it possible to share biodiversity datasets in a standardized way for users to download, analyse and compare. Currently, OFD stores more than 10.000 datasets and objects from the collections of Mammal Research Institute of Polish Academy of Sciences and Forest Science Institute of Białystok University of Technology. The objects from natural collections were digitalized, described, catalogued and made public in free-access. OFD manages seven types of collection materials: 3D and 2D scans of specimen in Herbarium, Fungarium, Insect and Mammal Collections, images from microscopes (including stereoscopic and scanning electron microscopes), morphometric measurements, computed tomography and microtomography scans in Mammal Collection, mammal telemetry data, satellite imagery, geospatial climatic and environmental data, georeferenced historical maps. 3D and 2D scans of specimen in Herbarium, Fungarium, Insect and Mammal Collections, images from microscopes (including stereoscopic and scanning electron microscopes), morphometric measurements, computed tomography and microtomography scans in Mammal Collection, mammal telemetry data, satellite imagery, geospatial climatic and environmental data, georeferenced historical maps. In the OFD repository, researchers have the possibility to share data in standardized way, which nowadays is often a requirement during the publishing process of a scientific article. Beside scientists, OFD is designed to be open and free for students and specialists in nature protection, but also for officials, foresters and nature enthusiasts. Creation of the OFD repository supports the development of citizen science in Poland, increases visibility and access to published data, improves scientific collaboration, exchange and reuse of data within and across borders.

Data transport between visualization web services for medical image analysis

Graphs (a.k.a networks) are ubiquitous nowadays in many application domains (e.g., retail and eCommerce, transportation and logistics, healthcare, pharmaceuticals, and life sciences) as they provide powerful abstractions to model complex structures and relationships. Consequently, graph data management tools are expected to play a pivotal role in diverse applications such as customer analytics, fraud detection and prevention, supply chain management, and scientific data analysis. Markets and Markets anticipates the global graph database market size is expected to grow from USD 1.9 billion in 2021 to USD 5.1 billion by 2026 (Markets and Markets 2022). Given such growth opportunities, it is paramount for graph data management tools to be user-friendly, efficient, and scalable to support their growing demands from diverse end users and applications.

February 01 2005 Special Issue: Collaborative Information Visualization Environments Guest Editors' Introduction Katy Börner, Katy Börner Indiana University Search for other works by this author on: This Site Google Scholar Raquel Navarro-Prieto Raquel Navarro-Prieto Universitat Oberta de Catalunya Search for other works by this author on: This Site Google Scholar Author and Article Information Katy Börner Indiana University Raquel Navarro-Prieto Universitat Oberta de Catalunya © 2005 Massachusetts Institute of Technology2005 Presence: Teleoperators and Virtual Environments (2005) 14 (1): iii–iv. https://doi.org/10.1162/pres.2005.14.1.iii Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Katy Börner, Raquel Navarro-Prieto; Special Issue: Collaborative Information Visualization Environments Guest Editors' Introduction. Presence: Teleoperators and Virtual Environments 2005; 14 (1): iii–iv. doi: https://doi.org/10.1162/pres.2005.14.1.iii Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsPRESENCE: Virtual and Augmented Reality Search Advanced Search Abstract This content is only available as a PDF. © 2005 Massachusetts Institute of Technology2005 You do not currently have access to this content.

Visual analysis of complex scientific simulation data often gain to be completed by an exploration with advanced Virtual Reality modalities as the haptic channel. But exploiting the haptic channel with a force-feedback device can be problematic when the profile of the forces to be conveyed to the user is inherently nonlinear. As application domain we are interested in learning relativity. Specifically, we focused our interest in studying the evolution of the kinetic energy of an object approaching the speed of the light. Indeed, the divergent value of momentum for a fast moving object is a difficult concept to understand for students in theoretical physics. In this didactic context, we propose to use a spring launcher based visuohaptic metaphor to allows a user to i) intuitively set the speed of objects in a relativistic framework and ii) access to the law beside the momentum value through this interactive experience. In this context, we imply that a user could interpret and remember an abstract mathematical concept by experiencing it in a VR simulation without having any knowledge and experience neither with haptic rendering nor with special relativity knowledge. In this paper, the contribution of visuo-haptic illusion and pseudo-haptic techniques is analysed with respect to a standard visual-haptic coupling. After formulating the laws of haptic control for this specific problem, a first evaluation is presented with preliminary results. These first results highlight the effectiveness of pseudo-haptic rendering technique used for the interaction design with a complex force profiles and its interpretation taking into account a didactic goal.

A distributed object is a reusable, self-contained piece of software that cooperates with other objects on the same machine or across a network in a plug-and-play fashion via a well-defined interface. The Numerical Propulsion System Simulation (NPSS) attempts to provide a collaborative aircraft engine design and simulation environment based on this concept. Many scientific applications in aerodynamics and solid mechanics are written in Fortran. Refitting these legacy Fortran codes with distributed objects can increase the code reusability. The remote variable scheme provided in NPSS helps programmers easily migrate the Fortran codes towards a client-server platform. This scheme gives the client the capability of accessing the variables at the server site. Through the operator overloading features in C++, remote variables can be used in much the same way as traditional variables. The remote variable scheme adopts the lazy update approach and the prefetch method. Preliminary performance evaluation shows that communication overhead can be greatly reduced.

Design and development of data visualization systems in a workstation environment

Biological molecules such as proteins and metabolites interact to accomplish a biological function and to respond to environmental stimuli. Pathways capture this information derived through scientific experimentation and data analysis. They contain information about genes that appear in complexes, the interacting genes, the directionality of the interactions (e.g. inhibitors versus activators), the cellular locations where the reactions occur, and the metabolites that are affected by the processes. Using our open-source pathway analysis platform, PathVisio, we will connect pathway analysis to different quantitative approaches already in development for metabolic network modeling, such as flux balance analysis and dynamic simulation. In order to use system-wide measurements to gain insights into this mechanism, we have to integrate large scale data analysis with modeled or measured fluxomics data results. For this we will develop a BridgeDb database for reaction identifiers, develop a PathVisio plugin for visualization of modeling results and architect a flexible, standards-based visualization approach (e.g. using MIM and SBGN) that will enable visualization of any conforming model, including visualization of the model output (e.g. flux changes). The focus here is on visualization of the modeling results, which will be critical for understanding how simulated models correlate with experimental measurements On the same lines, we will also find a solution to the problem of annotating metabolites in all pathways. The approach here is to use known Gene Ontology annotations for associated genes. Firstly we will incorporate automatically inferred GO categories into all WikiPathways. Develop GO visualization plugin to show gene categories on pathways and further assign automatically inferred GO categories to all addressable metabolites in WikiPathways. The last step would be to develop basic metabolite ontology analysis tools both with python GUIs and as Bioconductor modules.

IntroductionDistance learning has seen a significant increase as educational institutions have shifted toward offering online courses. Although some institutions quickly adapted, many struggled to modify traditional materials for online learners. Time was crucial for institutions lacking experience in remote teaching. Designing engaging online cybersecurity modules for diverse students is a major challenge. With the growing popularity of online courses, it is necessary to examine the teaching methods used. This paper presents a systematic literature review on the current state of online cybersecurity education at universities. Using the PRISMA approach, the study identifies prevalent themes and addresses key research questions. This study aims to analyze academic articles to highlight key findings on how universities teach cybersecurity courses online.MethodsThe authors conducted a systematic review of scholarly articles, adhering to the PRISMA approach for the period from January 2010 to August 2024. PRISMA offers a structured approach to planning, executing, and reporting systematic reviews in various fields, including healthcare and social sciences.ResultsThe review revealed several key findings on the design of online cybersecurity courses. Learner-centered approaches were commonly used, featuring active learning and practical applications. Effective instructional methods included collaborative learning, case studies, and simulations, which promoted student engagement and critical thinking. Universities emphasize practical skills evaluation and knowledge acquisition through project-based assessments. The role of IT tools was highlighted, with virtual laboratories, gamification, and simulations providing hands-on experiences, enhancing motivation, and facilitating active learning.DiscussionThis systematic review provides a comprehensive overview of the current online cybersecurity education practices in online universities. As a pioneering effort, it offers educators and curriculum developers valuable insight into designing effective online cybersecurity programmes to enhance teaching and learning practices. The review of online cybersecurity education highlighted several key findings. Learner-centered approaches, which incorporate active learning practices and practical applications, were prevalent. Effective instructional methods included collaborative learning, case studies, and simulations, which fostered student engagement and critical thinking. Assessments focused on the acquisition of practical skills and knowledge, using project-based tasks, practical exercises, and online quizzes. IT tools played a significant role, with virtual laboratories, gamification, and simulation environments that enhanced hands-on experiences, motivation, and active learning.

The Naval Undersea Warfare Center, Division Newport (NUWCDIVNPT) and its partners have developed a prototype CTI (Command Technology Initiatives) Test Bed to demonstrate the utility of a facility where warfighters, government, academia and industry can evaluate the application of collaborate decision support and advanced computer graphics technologies to submarine command and control. The CTI Test bed is currently comprised of three components: Collaborative Visualization Environment (CVE) for Submarine Command and Control, which provides a coherent 3-D display of the perceived undersea battlespace. Individual windows can display multi-dimensional data/information to support a common picture of undersea battlespace management and tactical control; Submarine Fleet Mission Programming Library (SFMPL) which provides environmental data, such as transmission loss, to CVE; Command and Control Data Server which provides contact reports, areas of uncertainty, and ownship/contact motion to CVE Facilitated by a CORBA<SUP>4</SUP> (Common Object Request Broker Architecture) compliant architecture, remotely connected collaborators interact via a computer network to generate and share information. Additionally, collaborators communicate orally via network telephony. Currently, the CTI Test bed is configured to provide volumetric displays of: undersea battlespace w/ bathymetry; Detection/Counter-detection regions for a given probability of detection; Contact(s) Volume of Uncertainty The CTI Test Bed provides a CORBA compliant framework, which can be readily expanded to evaluate candidate applications of collaborative command and tactical decision support and advanced computer graphics technologies.

Numerical simulations running on very large High Performance Computer clusters still suffer from the I/O bottleneck. The cost of communication can overwhelm the cost of computation, and scales inversely with the number of processors used in the cluster. In previous work we have developed a multiresolution data model to help improve performance for visualizations of very large multi dimensional scientific data sets. In our approach, the data is represented as a multi level hierarchy. Reconstructive error analysis is used to identify regions in the data where the data loss is greatest. We have incorporated this data model into the OpenGGCM solar wind simulation environment. In this paper, we demonstrate that this approach can reduce the I/O and improve the overall performance of a large numerical simulation environment.

Diesel engines are widely used in many application domains. The recent drive to reduce emissions, improve efficiency and implement on board diagnostic tools has resulted in a real need for improved models for the simulation of Diesel engines. This paper evaluates three different Diesel engine dynamic models of varying levels of complexity. The assumptions for the models and the equations are presented. The equations are implemented in a computer simulation environment. The models describe the dynamic relationship between indicated pressure and engine speed. The first model is a detailed analytical non-linear dynamic model, including dynamometer dynamics, instantaneous friction components, viscosity variations with temperature and inertia variations with piston pin offset. In-cycle calculations are performed at each crank-angle. The second model is a nonlinear dynamic model which includes a mean friction model for the engine components and dynamometer dynamics, but does not include the piston pin offset as well as the inertia variations. The third model is obtained by an identification procedure to find a low-order linear transfer function between the engine input and output. The three models are used to predict the behaviour of a Diesel engine. The models are compared using experimentally measured engine speeds, under steady state and transient operating conditions. The paper discusses the suitability of the models for various control applications such as engine simulation, fuelling control system design and fault diagnostics.