Research of Terrain 3D Visualization and Data Transfer Services within Distributed System

2006 ◽  
Author(s):  
Peng Chen ◽  
Lingkui Meng ◽  
Yingjin Qi ◽  
Jie Yang
Keyword(s):  
Distributed System ◽  
Data Transfer ◽  
3D Visualization ◽  
Transfer Services

scholarly journals Development of a Flexible Software Solution for Controlling Unmanned Air Vehicles via the Internet

2018 ◽  
Vol 6 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Deniss Brodņevs
Keyword(s):  
Long Range ◽  
Data Transfer ◽  
Line Of Sight ◽  
Unmanned Air Vehicles ◽  
Raspberry Pi ◽  
Transmitter Power ◽  
Flexible System ◽  
Mobile Cellular ◽  
Transfer Services ◽  
Air Vehicles

Abstract Remotely piloted operations of lightweight Unmanned Air Vehicles (UAV) are limited by transmitter power consumption and are always restricted to Line-of-Sight (LOS) distance. The use of mobile cellular network data transfer services (e.g. 3G HSPA and LTE) as well as long-range terrestrial links (e.g. LoraWAN) makes it possible to significantly extend the operation range of the remotely piloted UAV. This paper describes the development of a long-range communication solution for the UAV telemetry system. The proposed solution is based on (but not restricted to) cellular data transfer service and is implemented on Raspberry Pi under Gentoo Linux control. The goal of the project is to develop a flexible system for implementing optimized redundant network solutions for the Non-LOS remote control of the UAV

Accuracy of the First Integrated Cone-Beam System for Computer Aided Implantology

2010 ◽  
pp. 184-203
Author(s):  
Timo Dreiseidler ◽  
Jörg NeugebauerLutz Ritter ◽  
Daniel Rothamel ◽  
Robert A. Mischkowski ◽  
Jochim E. Zöller
Keyword(s):  
Data Transfer ◽  
3D Visualization ◽  
Diagnostic Value ◽  
Cone Beam ◽  
Computer Aided Surgery ◽  
Advantages And Disadvantages ◽  
Beam System ◽  
Computer Aided ◽  
Complete Survey ◽  
Transfer Accuracy

The aim of the chapter is to give a complete survey of Computer Aided Surgery (CAS) systems in dental implantology from the different 3D visualization technologies to the different available approaches for implant planning data transfer to the corresponding anatomical patient´s sites. Focus will be on the illumination of advantages and disadvantages for the different systems components. Further on, the diagnostic value, radiation dosages to the patient, availability and costs as well as the transfer accuracy results for the investigated system will be discussed.

Performance measurement of data transfer services in MAP

IEEE Network ◽  
1988 ◽  
Vol 2 (3) ◽  
pp. 75-81 ◽  
Author(s):  
W.T. Strayer ◽  
A.C. Weaver
Keyword(s):  
Performance Measurement ◽  
Data Transfer ◽  
Transfer Services

Method for constructing distributed system components for calculating the stationary mode of an electronic schematic representation of microservices with a full-duplex communication channel

2021 ◽  
Author(s):  
V.N. Gridin ◽  
V.I. Anisimov ◽  
S.A. Vasiliev
Keyword(s):  
Distributed System ◽  
Data Transfer ◽  
Nonlinear Circuits ◽  
Full Duplex ◽  
Automation System ◽  
Stationary Mode ◽  
Data Transfer Protocol ◽  
System Components ◽  
Building Components ◽  
Microservice Architecture

The joint use of a microservice architecture and a full-duplex WebSocket data transfer protocol for building components of a circuit design automation system is considered. Comparison of the organization of API based on the REST approach and using the WebSocket technology is made. The technique of horizontal scaling in systems with microservice architecture and full-duplex communication channels is determined. The advantages of using the WebSocket protocol for the interaction of distributed system components, in particular, with client PWA (Progressive Web Apps) applications, are given. The technique of creating a software implementation of the client and server components based on the full-duplex WebSocket protocol is considered. The technique of mathematical description of multi-pole components is considered. An algorithm for solving the problem of modeling a stationary mode of nonlinear circuits is described.

scholarly journals Pilot Study on the Detection of Simulated Lesions Using a 2D and 3D Digital Full-Field Mammography System with a Newly Developed High Resolution Detector Based on Two Shifts of a-Se

2012 ◽  
Vol 72 (05) ◽  
pp. 408-411 ◽  
Author(s):  
R. Schulz-Wendtland ◽  
M. Bani ◽  
M. Lux ◽  
S. Schwab ◽  
C. Loehberg ◽  
...  
Keyword(s):  
High Resolution ◽  
Data Transfer ◽  
3D Visualization ◽  
Optical Switch ◽  
Detection Rates ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Exposure Data ◽  
2D And 3D ◽  
Positive Results

Purpose: Experimental study of a new system for digital 2D and 3D full-field mammography (FFDM) using a high resolution detector based on two shifts of a-Se. Material and Methods: Images were acquired using the new FFDM system Amulet® (FujiFilm, Tokio, Japan), an a-Se detector (receptor 24 × 30 cm2, pixel size 50 µm, memory depth 12 bit, spatial resolution 10 lp/mm, DQE > 0.50). Integrated in the detector is a new method for data transfer, based on optical switch technology. The object of investigation was the Wisconsin Mammographic Random Phantom, Model 152A (Radiation Measurement Inc., Middleton, WI, USA) and the same parameters and exposure data (Tungsten, 100 mAs, 30 kV) were consistently used. We acquired 3 different pairs of images in the c-c and ml planes (2D) and in the c-c and c-c planes with an angle of 4 degrees (3D). Five radiologists experienced in mammography (experience ranging from 3 months to more than 5 years) analyzed the images (monitoring) which had been randomly encoded (random generator) with regard to the recognition of details such as specks of aluminum oxide (200–740 µm), nylon fibers (0.4–1.6 mm) and round lesions/masses (diameters 5–14 mm), using special linear glasses for 3D visualization, and compared the results. Results: A total of 225 correct positive decisions could be detected: we found 222 (98.7 %) correct positive results for 2D and 3D visualization in each case. Conclusion: The results of this phantom study showed the same detection rates for both 2D and 3D imaging using full field digital mammography. Our results must be confirmed in further clinical trials.

scholarly journals LHC Data Storage: Preparing for the Challenges of Run-3

2021 ◽  
Vol 251 ◽  
pp. 02023
Author(s):  
Maria Arsuaga-Rios ◽  
Vladimír Bahyl ◽  
Manuel Batalha ◽  
Cédric Caffy ◽  
Eric Cano ◽  
...  
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Data Transfer ◽  
Storage System ◽  
Third Party ◽  
Stress Tests ◽  
Erasure Coding ◽  
File Transfer ◽  
Transfer Services ◽  
Large Scale Tests

The CERN IT Storage Group ensures the symbiotic development and operations of storage and data transfer services for all CERN physics data, in particular the data generated by the four LHC experiments (ALICE, ATLAS, CMS and LHCb). In order to accomplish the objectives of the next run of the LHC (Run-3), the Storage Group has undertaken a thorough analysis of the experiments’ requirements, matching them to the appropriate storage and data transfer solutions, and undergoing a rigorous programme of testing to identify and solve any issues before the start of Run-3. In this paper, we present the main challenges presented by each of the four LHC experiments. We describe their workflows, in particular how they communicate with and use the key components provided by the Storage Group: the EOS disk storage system; its archival back-end, the CERN Tape Archive (CTA); and the File Transfer Service (FTS). We also describe the validation and commissioning tests that have been undertaken and challenges overcome: the ATLAS stress tests to push their DAQ system to its limits; the CMS migration from PhEDEx to Rucio, followed by large-scale tests between EOS and CTA with the new FTS “archive monitoring” feature; the LHCb Tier-0 to Tier-1 staging tests and XRootD Third Party Copy (TPC) validation; and the erasure coding performance in ALICE.

scholarly journals Enabling interoperable data and application services in a federated ScienceMesh

2021 ◽  
Vol 251 ◽  
pp. 02041
Author(s):  
Ishank Arora ◽  
Samuel Alfageme Sainz ◽  
Pedro Ferreira ◽  
Hugo Gonzalez Labrador ◽  
Jakub Moscicki
Keyword(s):  
Data Science ◽  
High Energy Physics ◽  
New Technologies ◽  
Data Transfer ◽  
High Energy ◽  
Collaborative Editing ◽  
Share Data ◽  
User Groups ◽  
Transfer Services ◽  
Energy Physics

In recent years, cloud sync & share storage services, provided by academic and research institutions, have become a daily workplace environment for many local user groups in the High Energy Physics (HEP) community. These, however, are primarily disconnected and deployed in isolation from one another, even though new technologies have been developed and integrated to further increase the value of data. The EU-funded CS3MESH4EOSC project is connecting locally and individually provided sync and share services, and scaling them up to the European level and beyond. It aims to deliver the ScienceMesh service, an interoperable platform to easily sync and share data across institutions and extend functionalities by connecting to other research services using streamlined sets of interoperable protocols, APIs and deployment methodologies. This supports multiple distributed application workflows: data science environments, collaborative editing and data transfer services. In this paper, we present the architecture of ScienceMesh and the technical design of its reference implementation, a platform that allows organizations to join the federated service infrastructure easily and to access application services outof-the-box. We discuss the challenges faced during the process, which include diversity of sync & share platforms (Nextcloud, Owncloud, Seafile and others), absence of global user identities and user discovery, lack of interoperable protocols and APIs, and access control and protection of data endpoints. We present the rationale for the design decisions adopted to tackle these challenges and describe our deployment architecture based on Kubernetes, which enabled us to utilize monitoring and tracing functionalities. We conclude by reporting on the early user experience with ScienceMesh.

scholarly journals Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 391 ◽  
Author(s):  
Michał Majchrowicz ◽  
Paweł Kapusta ◽  
Lidia Jackowska-Strumiłło ◽  
Robert Banasiak ◽  
Dominik Sankowski
Keyword(s):  
Image Reconstruction ◽  
Distributed System ◽  
Data Transfer ◽  
Industrial Process ◽  
Computing System ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Reconstruction Algorithms ◽  
Distributed Measurement ◽  
Capacitance Tomography

Electrical capacitance tomography (ECT) is one of non-invasive visualization techniques which can be used for industrial process monitoring. However, acquiring images trough 3D ECT often requires performing time consuming complex computations on large size matrices. Therefore, a new parallel approach for 3D ECT image reconstruction is proposed, which is based on application of multi-GPU, multi-node algorithms in heterogeneous distributed system. This solution allows to speed up the required data processing. Distributed measurement system with a new framework for parallel computing and a special plugin dedicated to ECT are presented in the paper. Computing system architecture and its main features are described. Both data distribution as well as transmission between the computing nodes are discussed. System performance was measured using LBP and the Landweber’s reconstruction algorithms which were implemented as a part of the ECT plugin. Application of the framework with a new network communication layer reduced data transfer times significantly and improved the overall system efficiency.

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