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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
All fields of satellite, airborne and ground remote sensing.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2017
Porting applications to CPU-GPU architecture remains a challenge to average programmers, which have to explicitly manage data transfers between the host and device memories. In this paper, we proposed an approach to optimize the data transfer operations between CPU and GPU by analysing the data dependency and reorganizing source code. We found that not only the data transmission through PCIe ...
2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC), 2017
In a complex security SoC, multiple crypto IP cores are used in real-time, which brings a lot of interruptions to CPU by regular solutions. In this regard, a specific data transfer controller(SDTC) is proposed in this work, which can process encryption and decryption tasks with pipelined operations. Using SDTC to process these tasks can economize CPU source to improve entire ...
2013 IEEE Global Communications Conference (GLOBECOM), 2013
Motivated by some critical observations from field tests, in this paper, we design and implement a Coding based multi-hop Coordinated Reliable Data Transfer (CCRDT) protocol for underwater acoustic networks. CCRDT is based on hop-by-hop reliable data transfer with multi-hop coordination. For the per-hop data transfer, a GF(256) Random Linear Coding scheme and a coding ratio estimation approach are proposed to ...
2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), 2016
This paper presents a contactless near field energy and data transfer system, which uses one common pair of coils for both transmission purposes. Though a contactless connector for harsh environments proves an exemplary application, the concept can be adapted to several other applications. The challenge is to transmit the data simultaneously to a large energy signal. The system concept, simulation, ...
2014 Oceans - St. John's, 2014
The data-link layer protocol is of great significance for the effectiveness and reliability of the transmission. In terrestrial wireless networks, there are three error control protocols in data-link layer, stop-wait ARQ, go-back-N ARQ and selective ARQ. Moreover, LT code, an advanced error control mechanism, is proposed and widely used in deep space communications or other erasure channels. However, since underwater ...
Driven Product Development for Wireless Power Transfer
What members say about IEEE Communications Society
Erasing Logic-Memory Boundaries in Superconductor Electronics - Vasili Semenov: 2016 International Conference on Rebooting Computing
2011 IEEE Awards Richard M. Emberson Award - Donald C. Loughry
Learning Control and Knowledge Transfer Between Aerial Robots for Improved Accuracy in Trajectory Tracking
A 200um x 200um x 100um, 63nW, 2.4GHz Injectable Fully-Monolithic Wireless BioSensing System: RFIC Industry Showcase 2017
Implantable Wireless Medical Devices and Systems
IEEE 125th Anniversary Media Event: Wireless Power
Wireless Power Transfer: APEC 2013 KeyTalk with Francesco Carobolante of Qualcomm
GaN Transistors -- Crushing Silicon in Wireless Energy Transfer
Mentoring the Next Generation of Female Leaders - panel from IEEE WIE Forum USA East 2017
The Moral Importance of Cybersecurity | IEEE TechEthics Virtual Panel
WPT: From µW/cm² Harvesting to kW Capacitive Vehicle Powering - Zoya Popovic, APEC 2018
Useful Quantum Computing - Pete Shadbolt - ICRC San Mateo, 2019
Micro-Apps 2013: Real-Time, Triggering, & Signal Capture for Agile and Elusive Signals
Shaping the Future Workforce: Transformative Impacts of Emerging Technologies | IEEE TechEthics Public Forum
Explorations in BIG Data and sMall Data with a Fuzzy Perspective
Q&A with Dr. Sorel Reisman: IEEE Big Data Podcast, Episode 2
Human-Guided Video Data Collection in Marine Environnment
Porting applications to CPU-GPU architecture remains a challenge to average programmers, which have to explicitly manage data transfers between the host and device memories. In this paper, we proposed an approach to optimize the data transfer operations between CPU and GPU by analysing the data dependency and reorganizing source code. We found that not only the data transmission through PCIe bus is time consuming, but also the preparation and cleaning work for data transfer operations. This cost will be dramatically increased if the program contains many kernel calls. Therefore, we firstly defined and analyzed the data copy in (out) path for each data transfer operation utilizing compiler techniques. The data copy in or copy out operation can be migrated along with its data copy path. Multiple data transfer operations could be merged into one operation if they are of the same transfer direction and their data copy paths have overlap. Migrating and merging multiple data transfer operations could obviously reduce the number of data exchange times and the system resource consumption.
In a complex security SoC, multiple crypto IP cores are used in real-time, which brings a lot of interruptions to CPU by regular solutions. In this regard, a specific data transfer controller(SDTC) is proposed in this work, which can process encryption and decryption tasks with pipelined operations. Using SDTC to process these tasks can economize CPU source to improve entire performance of SoC. Besides, due to pipeline and embedded structure of crypto IPs, to encrypt/decrypt using SDTC rather than DMA has much higher data transfer rate and much less access to system bus. By simulation result, the solution using SDTC has approximately 0 access to system bus in average and a data transfer rate, which is approximately 2 times as using DMA. As the role of cryptographic algorithm AES-128/192/256 and SM4 are used. The SDTC has been successfully integrated in a security SoC, which will be taped out very soon.
Motivated by some critical observations from field tests, in this paper, we design and implement a Coding based multi-hop Coordinated Reliable Data Transfer (CCRDT) protocol for underwater acoustic networks. CCRDT is based on hop-by-hop reliable data transfer with multi-hop coordination. For the per-hop data transfer, a GF(256) Random Linear Coding scheme and a coding ratio estimation approach are proposed to guarantee the reliability and efficiency of data transfer. In addition, a multi-hop coordination scheme is designed to enable transmission pipelining that allows multiple nodes to transmit simultaneously. By carefully scheduling the transmission of every node, our multi-hop coordination scheme effectively eliminates packet collisions, which further improves the end-to-end throughput. We implement CCRDT on a lab testbed and conducted extensive tests to evaluate its performance. Our results show that CCRDT achieves a higher end-to-end throughput than other existing reliable data transfer protocols which have been implemented in real systems.
This paper presents a contactless near field energy and data transfer system, which uses one common pair of coils for both transmission purposes. Though a contactless connector for harsh environments proves an exemplary application, the concept can be adapted to several other applications. The challenge is to transmit the data simultaneously to a large energy signal. The system concept, simulation, as well as measurement results of a hardware demonstrator will be presented in this paper. It will be shown that a robust data transmission system can be realized featuring superior SNR and nearly noise free operation even with a simultaneous energy transfer of several kilowatts.
The data-link layer protocol is of great significance for the effectiveness and reliability of the transmission. In terrestrial wireless networks, there are three error control protocols in data-link layer, stop-wait ARQ, go-back-N ARQ and selective ARQ. Moreover, LT code, an advanced error control mechanism, is proposed and widely used in deep space communications or other erasure channels. However, since underwater sound speed is comparatively slow, the protocol design needs to take the characteristics of the underwater acoustic channel into consideration in order to make efficient use of the channel. In this paper, a novel data transfer protocol based on sliding LT code (SLTC) is proposed to solve the underwater acoustic data transfer problem. We define the main performance metric in terms of the transmission efficiency to evaluate and compare three different protocols, stop-wait ARQ, M-ARQ and the data transfer protocol based on SLTC. Simulation results show that the impact of the transmission distance on the transmission efficiency of the data transfer protocol based on SLTC is less than that of the other two protocols.
Data transfer is very important in cloud computing, minimum the time cost is an effective way to improve the system performance. The purpose of the study was to model the data transfer process in the private cloud and shrink the time cost. Depending on the communication pattern of the model, the transfer algorithm was proposed for single and multi cluster. Experiments illustrated that the model proposed in this paper was feasible for the RS cloud data transfer.
Devices to provide one-way data transfer are known as one-way gateways and used in various security applications. The main problem to be solved by one- way gateways is to make secure communication between network segments with different security levels to maintain multilevel security policy. Although one-way gateways are utilized in lot of information systems, there is no solution, including `air gap', to assure one-way transfer in fact and they are not resistant against data leakage via covert channels. We analyzed state of the art technologies and products supporting one-way data transfer, worked out the requirements for one-way gateway with assured data transmitting. We designed the algorithm and protocol of assured data transfer and proposed the detailed device scheme. Then we build the program modelling the interaction between communication parties and the one-way gateway. This program was tested and some recommendations of its implementation were given.
The network infrastructures have been rapidly upgraded in many high- performance networks (HPNs). However, such infrastructure investment has not led to corresponding performance improvement in big data transfer, especially at the application layer, largely due to the complexity of optimizing transport control on end hosts. We design and implement ProbData, a PRofiling Optimization Based DAta Transfer Advisor, to help users determine the most effective data transfer method with the most appropriate control parameter values to achieve the best data transfer performance. ProbData employs a profiling optimization-based approach to exploit the optimal operational zone of various data transfer methods in support of big data transfer in extreme- scale scientific applications. We present a theoretical framework of the optimized profiling approach employed in ProbData as well as its detailed design and implementation. The advising procedure and performance benefits of ProbData are illustrated and evaluated by proof-of-concept experiments in real-life networks.
Big Data has emerged as a driving force for scientific discoveries. Large scientific instruments (e.g., colliders, and telescopes) generate exponentially increasing volumes of data. To enable scientific discovery, science data must be collected, indexed, archived, shared, and analyzed, typically in a widely distributed, highly collaborative manner. Data transfer is now an essential function for science discoveries, particularly within big data environments. Although significant improvements have been made in the area of bulk data transfer, the currently available data transfer tools and services can not successfully address the high-performance and time-constraint challenges of data transfer required by extreme-scale science applications for the following reasons: disjoint end-to-end data transfer loops, cross- interference between data transfers, and existing data transfer tools and services are oblivious to user requirements (deadline and QoS requirements). Fermilab has been working on the BigData Express project to address these problems. BigData Express seeks to provide a schedulable, predictable, and high-performance data transfer service for big data science. The BigData Express software is being deployed and evaluated at multiple research institutions, which include UMD, StarLight, FNAL, KISTI, KSTAR, SURFnet, Ciena, and other sites. Meanwhile, the BigData Express research team is collaborating with the StarLight International/National Communications Exchange Facility to deploy BigData Express at various research platforms, including Pacific Research Platform, National Research Platform, and Global Research Platform. It is envisioned that we are working toward building a high-performance data transfer federation for big data science.
Autonomous underwater vehicle (AUV) has widely been used for underwater explorations. However, AUV requires frequent launch and recovery processes for power feeding and data extraction. In order to solve these problems, we propose wireless power and data transfer system, which uses a pair of coils and transfer power and signal by using electromagnetic induction. We designed a system that can cover both power and communication signal transferring, and evaluated its performance by experiments. The obtained results suggest that the designed system can support high efficiency power transfer (>80%), high communication quality (with BER of 0.1%), and high data rate (>40kbps). It was confirmed that underwater wireless power and data transfer system can archived using single hardware.
This recommended practice will develop a criteria for the transfer of power quality data between instruments and computers. This data includes raw, processed, simulated, proposed, specified and calculated data. The transfer criteria will include the data as well as appropriate data characterization parameters, such as sampling rate, resolution, calibration status, instrument identification, and other pertinent or desired characteristics or data. ...
This document is part of the POSIX series of standards for applications and user interfaces to open systems. It defines the Ada language bindings as package specifications and accompanying textual descriptions of the applications program interface (API). This standard supports application portability at the source code level through the binding between ISO 8652:1995 (Ada) and ISO/IEC 9945-1:1990 (IEEE Std 1003.1-1990 ...