Remote Visualization Research Articles

Cytomine: An Open-Source Software For Collaborative Analysis Of Whole-Slide Images

Introduction/ Background Major software for whole-slide image analysis and digital pathology are proprietary / closed-source which is not in line with current trends in open science and reproducible research. While some open-source software libraries exist for digital pathology (e.g. OpenSlide or NDPITools for reading and converting slide formats), to the best of our knowledge no open-source software exists that combines remote visualization, collaborative and semantic annotation, and semi-automated analysis of digital slides. Aims Our Cytomine project started in 2010 to build a rich web environment for multi-gigapixel imaging data. This tool has been designed with the following objectives in mind: provide remote and collaborative principles, rely on data models that allow to easily organize and semantically annotate imaging datasets in a standardized way (using user-defined ontologies), efficiently support high-resolution multi-gigapixel images (incl. major scanner image formats), and provide mechanisms to readily proofread and share image quantifications produced by any image recognition algorithms. By emphasizing collaborative principles, our aim with Cytomine is to accelerate scientific progress and to significantly promote image data accessibility and reusability. We want to break common practices in this domain where imaging datasets, quantification results, and associated knowledge are still often stored and analyzed within the restricted circle of a specific laboratory. Methods Since the start of our project, we collaborated with biomedical researchers, pathologists, and computer scientists to shape the software and meet user and researcher needs. During development, we combined recent web, database, software development, and machine learning methodologies using open-source libraries. We also adopted modern practices (such as continuous integration and code quality testing) to build an industrial-grade software. In order to enable software extensibility and interoperability, we used a RESTful architecture so that e.g. other computer scientists can import/export data with their own algorithms and share their quantification results. Results The Cytomine software (h t tp://www.cytomine.be/) has been released under an open-source licence since January 2016. In terms of code, Cytomine is composed of roughly 70K lines of code decomposed into its four main modules: Cytomine-Core (web server and database), Cytomine-WebUI (web user interface), Cytomine-IMS (image server), and Cytomine-DataMining (image recognition algorithms). Cytomine has now been used on various bio(medical) imaging datasets that involved various types of images and experts in different collaborative operating modes to perform various quantification tasks (in renal pathology, toxicology, developmental studies, lung and breast cancer research,...). By providing detailed documentation, installation instructions and source code, we hope that Cytomine will be used and extended for many purposes in digital pathology. Overall, we believe Cytomine is an important new tool of broad interest to foster active communication and distributed collaboration between pathologists, life scientists, computer scientists, teachers and students working with digital slides.

Lidar Detection of Explosives Traces

The possibility of remote detection of traces of explosives using laser fragmentation/laser-induced fluorescence (LF/LIF) is studied. Experimental data on the remote visualization of traces of trinitrotoluene (TNT), hexogen (RDX), trotyl-hexogen (Comp B), octogen (HMX), and tetryl with a scanning lidar detector of traces of nitrogen-containing explosives at a distance of 5 m are presented.

A cloud-enabled remote visualization tool for time-varying climate data analytics

The ever-growing time-varying climate datasets pose challenges for efficient analytics using the current desktop-based or generic remote visualization tools. We present a tightly-coupled scalable cloud-enabled remote visualization tool that exploits the computational capabilities of Graphical Processing Units (GPUs). We implement three typical volumetric/3D visualization techniques to illustrate the enhanced performance offered by remote GPU clusters. Our development also enables fast deployment to facilitate the access of remote analytics tools by a wide range of end users.

The Construction of Seismic and Geological Studies' Cloud Platform Using Desktop Cloud Visualization Technology

D visualization technology makes full use of 3D seismic information and properties. Using 3D graphics to de- scribe all kinds of complex data fields and the data relation can be easily perceived, it is an important method of seismic and geological research. In petroleum exploration, the high performance graphics workstations are deployed to complete the interpretation work. The traditional application mode leads to the following problems: the utilization of resource is not balanced between different workstations; the lack of hardware, software and data resources sharing; and collaborative re- search is not convenient between experts in different places. By constructing seismic and geological studies' cloud plat- form using desktop cloud visualization technology, the traditional C/S architecture software using mode change to B/S mode, the platform improve the utilization rate of resources. The cloud platform realizes the seismic data interpretation work based on the 3D remote visualization technology, and the user needs only a desktop computer to complete all jobs. Through the cloud platform, users can access the software and hardware resources needed during the research by network, collaborative research of experts in different places will be very convenient, and the platform also provide science basis and data support for the comprehensive decisions.

Simulation Analysis of a Dynamic Reallocation-based Routing Functionality for SAGE Application

A large amount of scientific data is generated through computation and analysis. Also, today’s scientific research necessitates an aggregation of diverse expertise from experts with different backgrounds. Therefore, visualizing and sharing these data among scientists in an intuitive and easy manner is of more importance in scientific collaborative research than ever. We have focused on SAGE, a middleware that realizes a large-scale remote visualization leveraging network streaming technique as a promising building block technology. However, no advanced network control function for efficient use of the network is equipped with SAGE although SAGE relies on a network streaming techniques. Our previous research integrated a functionality that detected network failures avoided such failure by rerouting network flows of SAGE into the functionality. Nonetheless, a network congestion avoidance functionality to adapt a collection of network flows generated by SAGE to the underlying network has not been developed yet. In this paper we explore the feasibility of a reallocation-based dynamic routing functionality for SAGE, with which all network flows on the network are rearranged. For feasibility research, we perform simulation experiments to observe the behavior of the functionality. The evaluation confirms that our proposed functionality works correctly and brings better throughput for each flow.

VISIGNET: a wireless body area network with cloud data storage for the telemonitoring of vital signs

Telemonitoring systems, including Wireless Body Area Networks (WBAN), are an important support for the monitoring of patients with chronic diseases. This article shows the development and evaluation process of VISIGNET, a prototype open hardware interoperable vital signs monitoring system that captures data of clinical variables from a patient and sends them to a cloud-based service for their remote visualization. The article first presents a synthesis of the system design, which consists of a WBAN that captures data from three sensors, namely heart rate, body temperature, and blood pressure. Then, it explains the WBAN operation and the data transmission process to Xively, a cloud service. Finally, this article shows the findings of the evaluation of the system, analyzing parameters like coverage, the Frame Error Rate (FER), end-to-end delay, and the battery life of the sensors. It also shows the implementation of a case study with 100 patients from two health centers.

Model test study on monitoring dynamic process of slope failure through spatial sensor network

Landslides represent a major type of natural hazards worldwide. For development of risk mitigation capabilities, an effective system for monitoring dynamic process of slope failure, capable of gathering spatially distributed information before, during and after a landslide occurrence at real-time manner is essential. A spatial sensor network (SSN), which integrates the real-time communication infrastructure and observations from in situ sensors and remote sensing platforms, offers an efficient and effective approach for such purpose. In this paper, a SSN-based landslide monitoring system was designed and evaluated through a model test study conducted at Tongji University, China. This system, MUNOLD (MUlti-Sensor Network for Observing Landslide Disaster), has been designed as a comprehensive monitoring framework, including sensor observations, multi-channel wireless communication, remote data storage, visualization, data processing and data analysis. In this model test study, initial experimentation demonstrated the capabilities of the MUNOLD system for collecting real-time information about the dynamic process and propagation of slope failure. Innovatively, generated from the high-speed stereo images, the sequential surface deformation vector field can be created and may exhibit the dynamic process during the extremely critical and short period of the slope failure. After this model test study, the MUNOLD system is going to be further improved and extended in a landslide prone region in Sichuan Province, China.

REMOTE VISUALIZATION AND NAVIGATION OF 3D MODELS OF ARCHEOLOGICAL SITES

Abstract. The remote visualization and navigation of 3D data directly inside the web browser is becoming a viable option, due to the recent efforts in standardizing the components for 3D rendering on the web platform. Nevertheless, handling complex models may be a challenge, especially when a more generic solution is needed to handle different cases. In particular, archeological and architectural models are usually hard to handle, since their navigation can be managed in several ways, and a completely free navigation may be misleading and not realistic. In this paper we present a solution for the remote navigation of these dataset in a WebGL component. The navigation has two possible modes: the ”bird’s eye” mode, where the user is able to see the model from above, and the ”first person” mode, where the user can move inside the structure. The two modalities are linked by a point of interest, that helps the user to control the navigation in an intuitive fashion. Since the terrain may not be flat, and the architecture may be complex, it’s necessary to handle these issues, possibly without implementing complex mesh-based collision mechanisms. Hence, a complete navigation is obtained by storing the height and collision information in an image, which provides a very simple source of data. Moreover, the same image-based approach can be used to store additional information that could enhance the navigation experience. The method has been tested in two complex test cases, showing that a simple yet powerful interaction can be obtained with limited pre-processing of data.

Удаленная визуализация больших объемов данных

Computing power and hardware specifications of personal computing devices often cannot provide adequate performance to ensure the visualization of large amounts of data. Such data sets can be provided as results of various supercomputing experiments. To ensure a transparent and user-friendly access to such data one can use remote visualization approach. Remote visualization concept determines that the client is used only to display information from one or more remote visualization servers. This paper discusses types of the remote visualization technology used to provide interaction between client applications and remote servers, different ways of solving the problem of the remote visualization.

Design and Realization of Low Cost Control for Greenhouse Environment with Remote Control

This project describes the design and implementation of control unit coordinating sensors of various physical quantities and actuators. Beside the data collection from sensor units, the problem consists of their local and remote visualization. The selected concept is created by the Arduino platform, which uses expansion modules for data acquisition and visualization to control the solution. The chosen solution is sufficient for home automation and is useful for a wide range of potential customers. The concept is concretized into an intelligent greenhouse environment, where complete control is designed over the environment. Such solution optimizes the quality of treatment of crops or flowers while it can also bring financial savings on subsequent operation of the system, as expected. Results of the control concept were tested with the good results during a trial run of a real greenhouse, in which the quality of the designed solution was verified. Specific procedures and design solutions are also listed within this paper to highlight the solution.

Визуализация объектов, расположенных на удалении до 5 м от CuBr-усилителя яркости, с импульсом излучения типичной длительности

Визуализация объектов, расположенных на удалении до 5 м от CuBr-усилителя яркости, с импульсом излучения типичной длительности

A web based remote visualization architecture for big neuroimaging data

Event Abstract Back to Event A web based remote visualization architecture for big neuroimaging data Chao-Chun Chuang1* 1 National center for high-performance computing, Taiwan As recent neuroimaging research indicates, 3D visualization is helpful for understanding complex neuron structure. It also can help scientists share their visualization neuroimaging data and make their representation easier to understand [1][2]. In most cases, scientists downloaded these big neuroimaging data and then visualized on a local desktop environments with 3D visualization tools. However, in recent years, higher resolution datasets in the neuroimaging research continue massive growth with higher experimental resolving power. It becomes inconvenient to download these big neuroimaging data without enough network bandwidth and difficult to display these images in user client without enough computer resources. Thus, we demo a web-based remote visualization architecture for these big neuroimaging data, and take FlyCircuit 3D viewer as an example. FlyCircuit 3D viewer uses advanced 3-layer web technologies, web server (WebSockets, Canvas), visualization server (VNC and VirtualGL) and user client (HTML5) for interactive online 3D surface, skeleton and volumetric neuroimaging data in any web browser environments without requiring any browser plugin[2][3][4][5]. The first layer, web server communicates with the second layer visualization server by WebSockets and Canvas. Then third layer user client can view 3D neuroimaging data from web page constructed by HTML5. Thus, with powerful visualization server, users can easily interactive the 3D visualization neuron imaging by web browser in a lightweight computer resource. Finally, this visualization architecture can handle massive 3D neuronal image data collected in experiments from different research groups as well as manage bio-images with deeper neurological insight. Figure 1

Web-based visualization of very large scientific astronomy imagery

Visualizing and navigating through large astronomy images from a remote location with current astronomy display tools can be a frustrating experience in terms of speed and ergonomics, especially on mobile devices. In this paper, we present a high performance, versatile and robust client-server system for remote visualization and analysis of extremely large scientific images. Applications of this work include survey image quality control, interactive data query and exploration, citizen science, as well as public outreach. The proposed software is entirely open source and is designed to be generic and applicable to a variety of datasets. It provides access to floating point data at terabyte scales, with the ability to precisely adjust image settings in real-time. The proposed clients are light-weight, platform-independent web applications built on standard HTML5 web technologies and compatible with both touch and mouse-based devices. We put the system to the test and assess the performance of the system and show that a single server can comfortably handle more than a hundred simultaneous users accessing full precision 32 bit astronomy data.

Incremental BVH construction for ray tracing

We propose a new method for incremental construction of Bounding Volume Hierarchies (BVHs). Despite the wide belief that the incremental construction of BVH is inefficient we show that our method incrementally constructs a BVH with quality comparable to the best SAH builders. We illustrate the versatility of the proposed method using a flexible parallelization scheme that opens new possibilities for combining different BVH construction heuristics. We demonstrate the usage of the method in a proof-of-concept application for real-time preview of data streamed over the network. We believe that our method will renew the interest in incremental BVH construction and it will find its applications in ray tracing based remote visualizations and fast previews or in interactive scene editing applications handling very large data sets.

Remote Visualization for 3D Dynamic Scene Based on Image Space

Remote Visualization for 3D Dynamic Scene Based on Image Space

Animated Depth Images for Interactive Remote Visualization of Time-Varying Data Sets.

Remote visualization has become both a necessity, as data set sizes have grown faster than computer network performance, and an opportunity, as laptop, tablet, and smartphone mobile computing platforms have become ubiquitous. However, the conventional remote visualization (CRV) approach of sending a new image from the server to the client for every view parameter change suffers from reduced interactivity. One problem is high latency, as the network has to be traversed twice, once to communicate the view parameters to the server and once to transmit the new image to the client. A second problem is reduced image quality due to aggressive compression or low resolution. We address these problems by constructing and transmitting enhanced images that are sufficient for quality output frame reconstruction at the client for a range of view parameter values. The client reconstructs thousands of frames locally, without any additional data from the server, which avoids latency and aggressive compression. We introduce animated depth images, which not only store a color and depth sample at every pixel, but also store the trajectory of the samples for a given time interval. Sample trajectories are stored compactly by partitioning the image into semi-rigid sample clusters and by storing one sequence of rigid body transformations per cluster. Animated depth images leverage sample trajectory coherence to achieve a good compression of animation data, with a small and user-controllable approximation error. We demonstrate animated depth images in the context of finite element analysis and SPH data sets.

Remote Visualization System Based on Particle Based Volume Rendering

Remote Visualization System Based on Particle Based Volume Rendering

Scientific Visualization, 3D Immersive Virtual Reality Environments, and Archaeology in Jordan and the Near East

Scientific visualization allows researchers to examine their data in high definition 2D and 3D environments. Field research conducted in the Middle East by the UC San Diego Levantine and Cyber-Archaeology Lab, in collaboration with the Center for Interdisciplinary Research in Art, Architecture and Archaeology (CISA3) takes full advantage of a suite of state-of-the-art visualization platforms at the UC San Diego Qualcomm Institute. Research interests include terascale scientific visualization and virtual reality, image-based modeling and rendering, as well as distributed and remote visualization. The Qualcomm Institute's team has been active in virtual reality research for over a decade and the stringent VR requirements have served as important performance criteria for our large-scale distributed data analysis and visualization projects. Through collaborative work both on campus and abroad, our group has contributed to making a significant transformative impact to both diagnostics and the preservation of cultural heritage. Here we briefly summarize a range of 3D applications using data from our research in Jordan and Saudi Arabia.

Models of Objects of Control in SCADA System for Monitoring and Operational Dispatching in Sofia Metropolitan

Abstract Supervisory Control and Data Acquisition systems (SCADA) are often used in some important industry sectors, such as production and distribution of electricity, transport management, etc. The purpose of this paper is to establish models of SCADA system, DISIM that is incorporated into the Central Dispatching Station of Sofia Metropolitan. Its functions are related to remote visualization and management of the structures and devices in both directions - Trains operation (DISIM-V) and Power transmission system (DISIM-Å). The suggested structural models and mathematical description are used as a basis for realization of a simulator of both SCADA systems

Design and Implementation of the Evidence Obtaining Front-End of Vehicle-Mounted Video Surveillance System<i> </i>

Wireless video surveillance command system is widely used in the public security, transportation, water conservancy, urban management, electrical repair, emergency response projects and other industries. Vehicle-mounted wireless video surveillance system can promptly return the scene to command center using wireless networks. So it is easy for remote visualization, command and control. And it will greatly shorten the reaction time of the accident processing and enhance emergency response capabilities. Mobile evidence obtaining front-end is the most important part of the wireless video surveillance command system. The performance of front-end equipment determines the efficiency of the whole system. So the mobile evidence obtaining front-end is a system design difficult. The following is about the design and implementation of the mobile evidence obtaining front-end of the wireless video surveillance system.