Academic literature on the topic 'Real-Time Computing System'

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Journal articles on the topic "Real-Time Computing System"

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Malgaonkar, Saurabh, Paulami Shah, Rishabh Jhaveri, and Tejas Hirave. "Real Time e-Learning System using Cloud Computing." International Journal of Computer Applications 123, no. 3 (August 18, 2015): 19–23. http://dx.doi.org/10.5120/ijca2015905271.

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Mellichamp, Duncan, Dave Bedworth, Odd Pettersen, Peter Rony, Lew Bezanson, Walter Higgins, and Granino Korn. "Real-Time Computing And the Engineering Support System." IEEE Micro 5, no. 5 (October 1985): 27–35. http://dx.doi.org/10.1109/mm.1985.304601.

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Liou Chu, and ShihJung Wu. "A Real-time Fire Evacuation System with Cloud Computing." Journal of Convergence Information Technology 7, no. 7 (April 30, 2012): 208–15. http://dx.doi.org/10.4156/jcit.vol7.issue7.26.

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Christini, David J., Kenneth M. Stein, Steven M. Markowitz, and Bruce B. Lerman. "Practical Real-Time Computing System for Biomedical Experiment Interface." Annals of Biomedical Engineering 27, no. 2 (March 1999): 180–86. http://dx.doi.org/10.1114/1.185.

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Zhang, Bingda, Xianglong Jin, Sijia Tu, Zhao Jin, and Jie Zhang. "A New FPGA-Based Real-Time Digital Solver for Power System Simulation." Energies 12, no. 24 (December 8, 2019): 4666. http://dx.doi.org/10.3390/en12244666.

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Considering the rational use of field programmable gate array (FPGA) resources, this paper proposes a new FPGA-based real-time digital solver (FRTDS) for power system simulation. Based on the relationship between the number of computing components, the operating frequency, and the pipeline length, the best selection principle is given. By analyzing the implementation method of the Multi-Port Read/Write Circuit, the computing formula of the Look-Up-Table (LUT) consumption was derived. Given the excessive use of LUTs in the original computing components, the computing components were assembled in a single typical arithmetic expression of the power system simulation program, as the basic computing formula was characterized by a subset of the typical computing formula and multiple uses of the same variable. Data communication between different computing components was realized by using Multi-Port Input Circuits that share some outputs of read controller, and Multi-Port Output Circuits, which share some outputs of computing cores. According to the test results of original FRTDS and new FRTDS, it was found that the solution proposed in this paper had a shorter ideal simulation time and a higher parallel computing capability, which was very suitable for real-time digital simulation of power systems.
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Kimura, Mitsutaka, Mitsuhiro Imaizumi, and Toshio Nakagawa. "Replication Policy of Real-Time Distributed System for Cloud Computing." International Journal of Reliability, Quality and Safety Engineering 22, no. 05 (October 2015): 1550024. http://dx.doi.org/10.1142/s0218539315500242.

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Recently, cloud computing has been widely used for the purpose of protecting client data on the Internet [A. Weiss, Computing in the clouds, netWorker11 (2007) 16–25; M. Armbrust et al., Above the clouds: A Berkeley view of cloud computing, Technical Report UCV/EECS-2009-28, University of California at Berkeley (2009)]. But when a client receives network service, response time may be slow because the data center is located in a remote place. In order to solve the problem, real-time distributed systems for cloud computing has been proposed [M. Okuno, D. Ito, H. Miyamoto, H. Aoki, Y. Tsushima and T. Yazaki, A study on distributed information and communication processing architecture for next generation cloud system, IEICE Tech. Report109(A48) (2010) 241–246; M. Okuno, S. Tsutsumi and T. Yazaki, A study of high available distributed network processing technique for next generation cloud system, IEICE Tech. Report111(8) (2011) 25–30; S. Yamada, J. Marukawa, D. Ishii, S. Okamoto and N. Yamanaka, A study of parallel transmission technique with GMPLS in intelligent cloud network, IEICE Tech. Report109(455) (2010) 51–56]. The cloud computing system consists of some intelligent nodes as well as a data center. The data center manages all client data. The intelligent node provides client service near clients. It enables to provide client service at short response time [M. Okuno, D. Ito, H. Miyamoto, H. Aoki, Y. Tsushima and T. Yazaki, A study on distributed information and communication processing architecture for next generation cloud system, IEICE Tech. Report109(448) (2010) 241–246]. We considered the reliability model of distributed information processing for cloud computing, derived cost effectiveness and discussed the optimal replication interval to minimize it [M. Kimura, M. Imaizumi and T. Nakagawa, Reliability modeling of distributed information processing for cloud computing, in Proc. 20th ISSAT Int. Conf. Reliability and Quality in Design (2014), pp. 183–187]. Authors had dealt with the server system with one failure mode. In this paper, we consider the reliability model of a real-time distributed system with n intelligent nodes and formulate a stochastic model of the server system with n intelligent nodes for changing the other normal intelligent node at failure. We derive the expected numbers of the replication and of updating the client data. Further, we derive the expected cost and discuss an optimal replication interval to minimize it. Next, we derive the cost effectiveness and discuss an optimal number of intelligent nodes to minimize it.
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Lee, Seung-Wook, Jong-Tae Kim, Bong-Ki Sohn, Keon-Myung Lee, Jun-Dong Keon-Myung, Jee-Hyung Lee, and Jae-Wook Jeon. "Real-Time Rule-Based System Architecture for Context-Aware Computing." Journal of Korean Institute of Intelligent Systems 14, no. 5 (August 1, 2004): 587–92. http://dx.doi.org/10.5391/jkiis.2004.14.5.587.

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Bychkov, V., and N. Dembitsky. "Real-time distributed computing system for modeling of physical processes." Journal of Physics: Conference Series 1560 (June 2020): 012069. http://dx.doi.org/10.1088/1742-6596/1560/1/012069.

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Lukoyanov, E. V., and A. M. Gruzlikov. "Hierarchical diagnostic model synthesis for dataflow real-time computing system." Scientific and Technical Journal of Information Technologies, Mechanics and Optics 20, no. 5 (October 1, 2020): 677–82. http://dx.doi.org/10.17586/2226-1494-2020-20-5-677-682.

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Gradolewski, Dawid, Dawid Maslowski, Damian Dziak, Bartosz Jachimczyk, Siva Teja Mundlamuri, Chandran G. Prakash, and Wlodek J. Kulesza. "A Distributed Computing Real-Time Safety System of Collaborative Robot." Elektronika ir Elektrotechnika 26, no. 2 (April 25, 2020): 4–14. http://dx.doi.org/10.5755/j01.eie.26.2.25757.

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Robotization has become common in modern factories due to its efficiency and cost-effectiveness. Lots of robots and manipulators share their workspaces with humans what could lead to hazardous situations causing health damage or even death. This article presents a real-time safety system applying the distributed computing paradigm for a collaborative robot. The system consists of detection/sensing modules connected with a server working as decision-making system. Each configurable sensing module pre-processes vision information and then sends to the server the images cropped to new objects extracted from a background. After identifying persons from the images, the decision-making system sends a request to the robot to perform pre-defined action. In the proposed solution, there are indicated three safety zones defined by three different actions on a robot motion. As identification method, state-of-the-art of Machine Learning algorithms, the Histogram of Oriented Gradients (HOG), Viola-Jones, and You Only Look Once (YOLO), have been examined and presented. The industrial environment tests indicated that YOLOv3 algorithm outperformed other solutions in terms of identification capabilities, false positive rate and maximum latency.
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Dissertations / Theses on the topic "Real-Time Computing System"

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Anderson, Keith William John. "A real-time facial expression recognition system for affective computing." Thesis, Queen Mary, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405823.

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Okonoboh, Matthias Aifuobhokhan, and Sudhakar Tekkali. "Real-Time Software Vulnerabilities in Cloud Computing : Challenges and Mitigation Techniques." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2645.

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Context: Cloud computing is rapidly emerging in the area of distributed computing. In the meantime, many organizations also attributed the technology to be associated with several business risks which are yet to be resolved. These challenges include lack of adequate security, privacy and legal issues, resource allocation, control over data, system integrity, risk assessment, software vulnerabilities and so on which all have compromising effect in cloud environment. Organizations based their worried on how to develop adequate mitigation strategies for effective control measures and to balancing common expectation between cloud providers and cloud users. However, many researches tend to focus on cloud computing adoption and implementation and with less attention to vulnerabilities and attacks in cloud computing. This paper gives an overview of common challenges and mitigation techniques or practices, describes general security issues and identifies future requirements for security research in cloud computing, given the current trend and industrial practices. Objectives: We identified common challenges and linked them with some compromising attributes in cloud as well as mitigation techniques and their impacts in cloud practices applicable in cloud computing. We also identified frameworks we consider relevant for identifying threats due to vulnerabilities based on information from the reviewed literatures and findings. Methods: We conducted a systematic literature review (SLR) specifically to identify empirical studies focus on challenges and mitigation techniques and to identify mitigation practices in addressing software vulnerabilities and attacks in cloud computing. Studies were selected based on the inclusion/exclusion criteria we defined in the SLR process. We search through four databases which include IEEE Xplore, ACM Digital Library, SpringerLinks and SciencDirect. We limited our search to papers published from 2001 to 2010. In additional, we then used the collected data and knowledge from finding after the SLR, to design a questionnaire which was used to conduct industrial survey which also identifies cloud computing challenges and mitigation practices persistent in industry settings. Results: Based on the SLR a total of 27 challenges and 20 mitigation techniques were identified. We further identified 7 frameworks we considered relevant for mitigating the prevalence real-time software vulnerabilities and attacks in the cloud. The identified challenges and mitigation practices were linked to compromised cloud attributes and the way mitigations practices affects cloud computing, respectively. Furthermore, 5 and 3 additional challenges and suggested mitigation practices were identified in the survey. Conclusion: This study has identified common challenges and mitigation techniques, as well as frameworks practices relevant for mitigating real-time software vulnerabilities and attacks in cloud computing. We cannot make claim on exhaustive identification of challenges and mitigation practices associated with cloud computing. We acknowledge the fact that our findings might not be sufficient to generalize the effect of the different service models which include SaaS, IaaS and PaaS, and also true for the different deployment models such as private, public, community and hybrid. However, this study we assist both cloud provider and cloud customers on the security, privacy, integrity and other related issues and useful in the part of identifying further research area that can help in enhancing security, privacy, resource allocation and maintain integrity in the cloud environment.
Kungsmarksvagen 67 SE-371 44 Karlskrona Sweden Tel: 0737159290
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Say, Fatih. "A Reconfigurable Computing Platform For Real Time Embedded Applications." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613628/index.pdf.

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Today&rsquo
s reconfigurable devices successfully combine &lsquo
reconfigurable computing machine&rsquo
paradigm and &lsquo
high degree of parallelism&rsquo
and hence reconfigurable computing emerged as a promising alternative for computing-intensive applications. Despite its superior performance and lower power consumption compared to general purpose computing using microprocessors, reconfigurable computing comes with a cost of design complexity. This thesis aims to reduce this complexity by providing a flexible and user friendly development environment to application programmers in the form of a complete reconfigurable computing platform. The proposed computing platform is specially designed for real time embedded applications and supports true multitasking by using available run time partially reconfigurable architectures. For this computing platform, we propose a novel hardware task model aiming to minimize logic resource requirement and the overhead due to the reconfiguration of the device. Based on this task model an optimal 2D surface partitioning strategy for managing the hardware resource is presented. A mesh network-on-chip is designed to be used as the communication environment for the hardware tasks and a runtime mapping technique is employed to lower the communication overhead. As the requirements of embedded systems are known prior to field operation, an oine design flow is proposed for generating the associated bit-stream for the hardware tasks. Finally, an online real time operating system scheduler is given to complete the necessary building blocks of a reconfigurable computing platform suitable for real time computing-intensive embedded applications. In addition to providing a flexible development environment, the proposed computing platform is shown to have better device utilization and reconfiguration time overhead compared to existing studies.
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Young, Richard. "Real-time distributed system architecture using local area networks." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/18231.

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Bibliography: pages 61-66.
This dissertation addresses system architecture concepts for the implementation of real-time distributed systems. In particular, it addresses the requirements of a specific mission and real-time critical distributed system application as this exemplifies most of the issues of concern. Of specific significance is the integration of real-time distributed data services into a platform-wide Information Management Infrastructure. The dissertation commences with an overview of the system-level allocated requirements. Derived requirements for an Information Management Infrastructure (IMI) are then determined. A generic system architecture is then presented in terms of the allocated and derived requirements. A specific topology, based on this architecture, as well as available technology, is described. The scalability of the architecture to -different platforms, including non-surface platforms, is discussed. As financial considerations are an important design driver and constraint, some anticipated order-of-magnitude system acquisition costs for a range of system complexities and configurations are briefly reviewed. Finally some conclusions and recommendations within the context of the allocated and derived requirements, as well as the RSA's politico-economic environment, are offered.
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Kao, Ming-lai. "A reconfigurable fault-tolerant multiprocessor system for real-time control /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266011223248.

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Iturbe, Xabier. "Design and implementation of a reliable reconfigurable real-time operating system (R3TOS)." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/9413.

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Twenty-first century Field-Programmable Gate Arrays (FPGAs) are no longer used for implementing simple “glue logic” functions. They have become complex arrays of reconfigurable logic resources and memories as well as highly optimised functional blocks, capable of implementing large systems on a single chip. Moreover, Dynamic Partial Reconfiguration (DPR) capability permits to adjust some logic resources on the chip at runtime, whilst the rest are still performing active computations. During the last few years, DPR has become a hot research topic with the objective of building more reliable, efficient and powerful electronic systems. For instance, DPR can be used to mitigate spontaneously occurring bit upsets provoked by radiation, or to jiggle around the FPGA resources which progressively get damaged as the silicon ages. Moreover, DPR is the enabling technology for a new computing paradigm which combines computation in time and space. In Reconfigurable Computing (RC), a battery of computation-specific circuits (“hardware tasks”) are swapped in and out of the FPGA on demand to hold a continuous stream of input operands, computation and output results. Multitasking, adaptation and specialisation are key properties in RC, as multiple swappable tasks can run concurrently at different positions on chip, each with custom data-paths for efficient execution of specific computations. As a result, considerable computational throughput can be achieved even at low clock frequencies. However, DPR penetration in the commercial market is still testimonial, mainly due to the lack of suitable high-level design tools to exploit this technology. Indeed, currently, special skills are required to successfully develop a dynamically reconfigurable application. In light of the above, this thesis aims at bridging the gap between high-level application and low-level DPR technology. Its main objective is to develop Operating System (OS)-like support for high-level software-centric application developers in order to exploit the benefits brought about by DPR technology, without having to deal with the complex low-level hardware details. The developed solution in this thesis is named as R3TOS, which stands for Reliable Reconfigurable Real-Time Operating System. R3TOS defines a flexible infrastructure for reliably executing reconfigurable hardware-based applications under real-time constraints. In R3TOS, the hardware tasks are scheduled in order to meet their computation deadlines and allocated to non-damaged resources, keeping the system fault-free at all times. In addition, R3TOS envisages a computing framework whereby both hardware and software tasks coexist in a seamless manner, allowing the user to access the advanced computation capabilities of modern reconfigurable hardware from a software “look and feel” environment. This thesis covers all of the design and implementation aspects of R3TOS. The thesis proposes a novel EDF-based scheduling algorithm, two novel task allocation heuristics (EAC and EVC) and a novel task allocation strategy (called Snake), addressing many RC-related particularities as well as technological constraints imposed by current FPGA technology. Empirical results show that these approaches improve on the state of the art. Besides, the thesis describes a novel way to harness the internal reconfiguration mechanism of modern FPGAs to performinter-task communications and synchronisation regardless of the physical location of tasks on-chip. This paves the way for implementing more sophisticated RC solutions which were only possible in theory in the past. The thesis illustrates R3TOS through a proof-of-concept prototype with two demonstrator applications: (1) dependability oriented control of the power chain of a railway traction vehicle, and (2) datastreaming oriented Software Defined Radio (SDR).
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ROSALES, MARCELO V. "MICROPROCESSOR-BASED DIGITAL CONTROLLER FOR THE ADVANCED TELEMETRY TRACKING SYSTEM." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/613173.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
This paper discusses the design and implementation of a microcomputer system that functions as the central processing unit for performing servo system control, tracking mode determination, operator interface, switching, and logic operations. The computer hardware consists of VMEbus compatible boards that include a Motorola 32-bit MC68020 microprocessor-based CPU board, and a variety of interface boards. The computer is connected to the Radio Frequency system, Antenna Control Unit, azimuth and elevation servo systems, and other systems of the Advanced Transportable Telemetry Acquisition System (TTAS-A) through extensive serial, analog, and digital input/output interfacing. The software platform consists of a commercially-acquired real-time multi-tasking operating system, and in-house developed device drivers and tracking system software. The operating system kernel is written in assembly language, while the application software is written using the C programming language. To enhance the operation of the TTAS-A, software was also developed to provide color graphics, CRT menus, printer listings, interactive real-time hardware/software diagnostics, and a GPIB (IEEE-488 bus) interface for Automated Testing System support.
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8

Hong, Chuan. "Towards the development of a reliable reconfigurable real-time operating system on FPGAs." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8948.

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In the last two decades, Field Programmable Gate Arrays (FPGAs) have been rapidly developed from simple “glue-logic” to a powerful platform capable of implementing a System on Chip (SoC). Modern FPGAs achieve not only the high performance compared with General Purpose Processors (GPPs), thanks to hardware parallelism and dedication, but also better programming flexibility, in comparison to Application Specific Integrated Circuits (ASICs). Moreover, the hardware programming flexibility of FPGAs is further harnessed for both performance and manipulability, which makes Dynamic Partial Reconfiguration (DPR) possible. DPR allows a part or parts of a circuit to be reconfigured at run-time, without interrupting the rest of the chip’s operation. As a result, hardware resources can be more efficiently exploited since the chip resources can be reused by swapping in or out hardware tasks to or from the chip in a time-multiplexed fashion. In addition, DPR improves fault tolerance against transient errors and permanent damage, such as Single Event Upsets (SEUs) can be mitigated by reconfiguring the FPGA to avoid error accumulation. Furthermore, power and heat can be reduced by removing finished or idle tasks from the chip. For all these reasons above, DPR has significantly promoted Reconfigurable Computing (RC) and has become a very hot topic. However, since hardware integration is increasing at an exponential rate, and applications are becoming more complex with the growth of user demands, highlevel application design and low-level hardware implementation are increasingly separated and layered. As a consequence, users can obtain little advantage from DPR without the support of system-level middleware. To bridge the gap between the high-level application and the low-level hardware implementation, this thesis presents the important contributions towards a Reliable, Reconfigurable and Real-Time Operating System (R3TOS), which facilitates the user exploitation of DPR from the application level, by managing the complex hardware in the background. In R3TOS, hardware tasks behave just like software tasks, which can be created, scheduled, and mapped to different computing resources on the fly. The novel contributions of this work are: 1) a novel implementation of an efficient task scheduler and allocator; 2) implementation of a novel real-time scheduling algorithm (FAEDF) and two efficacious allocating algorithms (EAC and EVC), which schedule tasks in real-time and circumvent emerging faults while maintaining more compact empty areas. 3) Design and implementation of a faulttolerant microprocessor by harnessing the existing FPGA resources, such as Error Correction Code (ECC) and configuration primitives. 4) A novel symmetric multiprocessing (SMP)-based architectures that supports shared memory programing interface. 5) Two demonstrations of the integrated system, including a) the K-Nearest Neighbour classifier, which is a non-parametric classification algorithm widely used in various fields of data mining; and b) pairwise sequence alignment, namely the Smith Waterman algorithm, used for identifying similarities between two biological sequences. R3TOS gives considerably higher flexibility to support scalable multi-user, multitasking applications, whereby resources can be dynamically managed in respect of user requirements and hardware availability. Benefiting from this, not only the hardware resources can be more efficiently used, but also the system performance can be significantly increased. Results show that the scheduling and allocating efficiencies have been improved up to 2x, and the overall system performance is further improved by ~2.5x. Future work includes the development of Network on Chip (NoC), which is expected to further increase the communication throughput; as well as the standardization and automation of our system design, which will be carried out in line with the enablement of other high-level synthesis tools, to allow application developers to benefit from the system in a more efficient manner.
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Koblik, Katerina. "Simulation of rain on a windshield : Creating a real-time effect using GPGPU computing." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185027.

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Modelling and rendering natural phenomena, such as rain, is an important aspect of creating a realistic driving simulator. Rain is a crucial issue when driving in the real world as it for instance obstructs the driver’s vision. The difficulty is to implement it in a visually appealing way while simultaneously making it look realistic and keeping the computational cost low. In this report, a GPGPU (general-purpose computing on graphical processing units) based approach is presented where the final product is a rain simulation rendered onto a 2D texture, which can then be applied to a surface. The simulated raindrops interact with gravity, wind, a windshield wiper as well as with each other, and are then used to distort the background behind them in a convincing manner. The simulation takes into account multiple physical properties of raindrops and is shown to be suitable to run in real-time. The result is presented in form of a visual demonstration. In conclusion, even though the final simulation is still in its first iteration, it clearly highlights what can be accomplished by utilizing the GPU and the benefits of using a texture-based approach. The appropriate simulation approach will however always depend on the characteristics of the problem and the limitations of the hardware.
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Uddin-Al-Hasan, Main. "Real-time Embedded Panoramic Imaging for Spherical Camera System." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2518.

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Panoramas or stitched images are used in topographical mapping, panoramic 3D reconstruction, deep space exploration image processing, medical image processing, multimedia broadcasting, system automation, photography and other numerous fields. Generating real-time panoramic images in small embedded computer is of particular importance being lighter, smaller and mobile imaging system. Moreover, this type of lightweight panoramic imaging system is used for different types of industrial or home inspection. A real-time handheld panorama imaging system is developed using embedded real-time Linux as software module and Gumstix Overo and PandaBoard ES as hardware module. The proposed algorithm takes 62.6602 milliseconds to generate a panorama frame from three images using a homography matrix. Hence, the proposed algorithm is capable of generating panorama video with 15.95909365 frames per second. However, the algorithm is capable to be much speedier with more optimal homography matrix. During the development, Ångström Linux and Ubuntu Linux are used as the operating system with Gumstix Overo and PandaBoard ES respectively. The real-time kernel patch is used to configure the non-real-time Linux distribution for real-time operation. The serial communication software tools C-Kermit, Minicom are used for terminal emulation between development computer and small embedded computer. The software framework of the system consist UVC driver, V4L/V4L2 API, OpenCV API, FFMPEG API, GStreamer, x264, Cmake, Make software packages. The software framework of the system also consist stitching algorithm that has been adopted from available stitching methods with necessary modification. Our proposed stitching process automatically finds out motion model of the Spherical camera system and saves the matrix in a look file. The extracted homography matrix is then read from look file and used to generate real-time panorama image. The developed system generates real-time 180° view panorama image from a spherical camera system. Beside, a test environment is also developed to experiment calibration and real-time stitching with different image parameters. It is able to take images with different resolutions as input and produce high quality real-time panorama image. The QT framework is used to develop a multifunctional standalone software that has functions for displaying real-time process algorithm performance in real-time through data visualization, camera system calibration and other stitching options. The software runs both in Linux and Windows. Moreover, the system has been also realized as a prototype to develop a chimney inspection system for a local company.
Main Uddin-Al-Hasan, E-mail: main.hasan@gmail.com
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Books on the topic "Real-Time Computing System"

1

service), SpringerLink (Online, ed. Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications. Boston, MA: Springer US, 2011.

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Buttazzo, Giorgio C. Hard Real-Time Computing Systems. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0676-1.

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Buttazzo, Giorgio C. Hard Real-Time Computing Systems. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-27578-9.

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Chen, Jing, and Seongsoo Hong, eds. Real-Time and Embedded Computing Systems and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b97784.

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Hard real-time computing systems: Predictable scheduling algorithms and applications. Boston: Kluwer Academic Publishers, 1997.

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Hard real-time computing systems: Predictable scheduling algorithms and applications. 2nd ed. New York: Springer, 2004.

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Tilborg, André M. Foundations of Real-Time Computing: Scheduling and Resource Management. Boston, MA: Springer US, 1991.

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Poledna, Stefan. Fault-tolerant real-time systems: The problem of replica determinism. Boston: Kluwer Academic Publishers, 1996.

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Poledna, Stefan. Fault-tolerant Real-time Systems: The Problem of Replica Determinism {Kluwer International Series in Engineering and Computer Science ; Real-time Systems SECS 345}. Dordrecht: Springer, 1995.

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Malek, Miroslaw. Responsive Computing: A Special Issue of REAL-TIME SYSTEMS The International Journal of Time-Critical Computing Systems Vol. 7, No.3 (1994). Boston, MA: Springer US, 1994.

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Book chapters on the topic "Real-Time Computing System"

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Olsson, Ulf. "Ship System 2000." In Real Time Computing, 574–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_48.

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Howell, Steven L. "Annotation for System Engineering of Large, Complex, Real-Time Systems." In Real Time Computing, 539–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_40.

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Nakazato, Hidenori. "Real-Time Database System Design." In Real Time Computing, 705–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_116.

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Sêrro, Carlos. "System Level Real Time Distributed Diagnosis." In Real Time Computing, 719. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_118.

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Harrison, Robert D. "Combat System Prerequisites on Supercomputer Performance Analysis." In Real Time Computing, 512–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_28.

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Appel, Bernhard. "VOTRICS: A Highly Predictable Fault Tolerant System Architecture." In Real Time Computing, 630–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_77.

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Almeida, Carlos, and Keith Marzullo. "CORTO: High Availability in a Real-Time System." In Real Time Computing, 667. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_94.

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Bengtsson, Kim. "Head Up Display. Requirements on an Avionic System." In Real Time Computing, 522–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_34.

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Goldberg, Jack. "Formal Methods for Fault-Tolerant, Real-Time System Design." In Real Time Computing, 625. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_74.

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Malek, Miroslaw. "A Consensus-Based Framework for Responsive Computer System Design." In Real Time Computing, 309–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_15.

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Conference papers on the topic "Real-Time Computing System"

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Albarakati, Hussain, Reda Ammar, and Raafat Elfouly. "Real-Time Underwater Computing System." In 2018 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2018. http://dx.doi.org/10.1109/iscc.2018.8538617.

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Cheng, Zhuoqun, Ye Li, and Richard West. "Qduino: A Multithreaded Arduino System for Embedded Computing." In 2015 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2015. http://dx.doi.org/10.1109/rtss.2015.32.

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Kuo, Tei-Wei, Jian-Jia Chen, Yuan-Hao Chang, and Pi-Cheng Hsiu. "Real-Time Computing and the Evolution of Embedded System Designs." In 2018 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2018. http://dx.doi.org/10.1109/rtss.2018.00011.

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Yi, Chen, Gao Ge, and Liu Hao. "Adaptive Control for Real-time Computing System." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347211.

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Bee, C., T. Bold, B. Caron, G. Fairey, J. B. Hansen, J. R. Hansen, R. Hughes-Jones, et al. "On the potential use of remote computing farms in the ATLAS TDAQ system." In 14th IEEE-NPSS Real Time Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/rtc.2005.1547534.

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SCHIANO, C., and J. SILBERTO. "Grumman's real time computing system for avionics testing." In 3rd Flight Testing Conference and Technical Display. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1986. http://dx.doi.org/10.2514/6.1986-9732.

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Fenu, Gianni, and Simone Surcis. "A Cloud Computing Based Real Time Financial System." In 2009 Eighth International Conference on Networks. IEEE, 2009. http://dx.doi.org/10.1109/icn.2009.71.

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Zhou, Yumin, Peng Wang, and Wei Wang. "A Real-Time Sensor Network Aggregation Computing System." In 2018 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud) and 2018 4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom). IEEE, 2018. http://dx.doi.org/10.1109/cscloud/edgecom.2018.00016.

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Kadam, P. R., and K. P. Shinde. "Real Time Milk Monitoring System." In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE, 2018. http://dx.doi.org/10.1109/iccubea.2018.8697373.

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Zhou, Husheng, Guangmo Tong, and Cong Liu. "GPES: a preemptive execution system for GPGPU computing." In 2015 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2015. http://dx.doi.org/10.1109/rtas.2015.7108420.

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Reports on the topic "Real-Time Computing System"

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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Abstract:
This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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