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Dissertations / Theses on the topic 'Real-time data processing'

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Published: 4 June 2021

Last updated: 9 June 2025

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1

Ostroumov, Ivan Victorovich. "Real time sensors data processing." Thesis, Polit. Challenges of science today: XIV International Scientific and Practical Conference of Young Researchers and Students, April 2–3, 2014 : theses. – К., 2014. – 35p, 2014. http://er.nau.edu.ua/handle/NAU/26582.

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Sensor it is the most powerful part of any system. Aviation industry is the plase where milions of sensors is be used for difetrent purpuses. Othe wery important task of avionics equipment is data transfer between sensors to processing equipment. Why it is so important to transmit data online into MatLab? Nowadays rapidly are developing unmanned aerial vehicles. If we can transmit data from UAV sensors into MatLab, then we can process it and get the desired information about UAV. Of course we have to use the most chipiest way to data transfer. Today everyone in the world has mobile phone. Many of them has different sensors, such as: pressure sensor, temperature sensor, gravity sensor, gyroscope, rotation vector sensor, proximity sensor, light sensor, orientation sensor, magnetic field sensor, accelerometer, GPS receiver and so on. It will be cool if we can use real time data from cell phone sensors for some navigation tasks. In our work we use mobile phone Samsung Galaxy SIII with all sensors which are listed above except temperature sensor. There are existing many programs for reading and displaying data from sensors, such as: “Sensor Kinetics”, “Sensors”, “Data Recording”, “Android Sensors Viewer”. We used “Data Recording”. For the purpose of transmitting data from cell phone there are following methods: - GPRS (Mobile internet); - Bluetooth; - USB cable; - Wi-Fi. After comparing this methods we analyzed that GPRS is uncomfortable for us because we should pay for it, Bluetooth has small coverage, USB cable has not such portability as others methods. So we decided that Wi-Fi is optimal method on transmitting data for our goal

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2

White, Allan P., and Richard K. Dean. "Real-Time Test Data Processing System." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614650.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>The U.S. Army Aviation Development Test Activity at Fort Rucker, Alabama needed a real-time test data collection and processing capability for helicopter flight testing. The system had to be capable of collecting and processing both FM and PCM data streams from analog tape and/or a telemetry receiver. The hardware and software was to be off the shelf whenever possible. The integration was to result in a stand alone telemetry collection and processing system.

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3

Macias, Filiberto. "Real Time Telemetry Data Processing and Data Display." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611405.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>The Telemetry Data Center (TDC) at White Sands Missile Range (WSMR) is now beginning to modernize its existing telemetry data processing system. Modern networking and interactive graphical displays are now being introduced. This infusion of modern technology will allow the TDC to provide our customers with enhanced data processing and display capability. The intent of this project is to outline this undertaking.

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4

Dowling, Jason, John Welling, Loral Aerosys, Kathy Nanzetta, Toby Bennett, and Jeff Shi. "ACCELERATING REAL-TIME SPACE DATA PACKET PROCESSING." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/608429.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada<br>NASA’s use of high bandwidth packetized Consultative Committee for Space Data Systems (CCSDS) telemetry in future missions presents a great challenge to ground data system developers. These missions, including the Earth Observing System (EOS), call for high data rate interfaces and small packet sizes. Because each packet requires a similar amount of protocol processing, high data rates and small packet sizes dramatically increase the real-time workload on ground packet processing systems. NASA’s Goddard Space Flight Center has been developing packet processing subsystems for more than twelve years. Implementations of these subsystems have ranged from mini-computers to single-card VLSI multiprocessor subsystems. The latter subsystem, known as the VLSI Packet Processor, was first deployed in 1991 for use in support of the Solar Anomalous & Magnetospheric Particle Explorer (SAMPEX) mission. An upgraded version of this VMEBus card, first deployed for Space Station flight hardware verification, has demonstrated sustained throughput of up to 50 Megabits per second and 15,000 packets per second. Future space missions including EOS will require significantly higher data and packet rate performance. A new approach to packet processing is under development that will not only increase performance levels by at least a factor of six but also reduce subsystem replication costs by a factor of five. This paper will discuss the development of a next generation packet processing subsystem and the architectural changes necessary to achieve a thirty-fold improvement in the performance/price of real-time packet processing.

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5

Liu, Guangtian. "An event service architecture in distributed real-time systems /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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6

Dreibelbis, Harold N., Dennis Kelsch, and Larry James. "REAL-TIME TELEMETRY DATA PROCESSING and LARGE SCALE PROCESSORS." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612912.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Real-time data processing of telemetry data has evolved from a highly centralized single large scale computer system to multiple mini-computers or super mini-computers tied together in a loosely coupled distributed network. Each mini-computer or super mini-computer essentially performing a single function in the real-time processing sequence of events. The reasons in the past for this evolution are many and varied. This paper will review some of the more significant factors in that evolution and will present some alternatives to a fully distributed mini-computer network that appear to offer significant real-time data processing advantages.

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7

Feather, Bob, and Michael O’Brien. "OPEN ARCHITECTURE SYSTEM FOR REAL TIME TELEMETRY DATA PROCESSING." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612934.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>There have been many recent technological advances in small computers, graphics stations, and system networks. This has made it possible to build highly advanced distributed processing systems for telemetry data acquisition and processing. Presently there is a plethora of vendors marketing powerful new network workstation hardware and software products. Computer vendors are rapidly developing new products as new technology continues to emerge. It is becoming difficult to procure and install a new computer system before it has been made obsolete by a competitor or even the same vendor. If one purchases the best hardware and software products individually, the system can end up being composed of incompatible components from different vendors that do not operate as one integrated homogeneous system. If one uses only hardware and software from one vendor in order to simplify system integration, the system will be limited to only those products that the vendor chooses to develop. To truly take advantage of the rapidly advancing computer technology, today’s telemetry systems should be designed for an open systems environment. This paper defines an optimum open architecture system designed around industry wide standards for both hardware and software. This will allow for different vendor’s computers to operate in the same distributed networked system, and will allow software to be portable to the various computers and workstations in the system while maintaining the same user interface. The open architecture system allows for new products to be added as they become available to increase system performance and capability in a truly heterogeneous system environment.

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8

Dahan, Michael. "RTDAP: Real-Time Data Acquisition, Processing and Display System." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614629.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>This paper describes a data acquisition, processing and display system which is suitable for various telemetry applications. The system can be connected either to a PCM encoder or to a telemetry decommutator through a built-in interface and can directly address any channel from the PCM stream for processing. Its compact size and simplicity allow it to be used in the flight line as a test console, in mobile stations as the main data processing system, or on-board test civil aircrafts for in-flight monitoring and data processing.

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9

Spina, Robert. "Real time maze traversal /." Online version of thesis, 1989. http://hdl.handle.net/1850/10566.

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10

Ghosh, Kaushik. "Speculative execution in real-time systems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/8174.

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11

Chung, Vera Yuk Ying. "Real-time image processing techniques using custom computing." Thesis, Queensland University of Technology, 2000.

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12

Hooman, Jozef. "Specification and compositional verification of real time systems /." Berlin [u.a.] : Springer, 1991. http://www.loc.gov/catdir/enhancements/fy0815/91041783-d.html.

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13

Burger, Joseph. "Real-time engagement area dvelopment program (READ-Pro)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FBurger.pdf.

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14

尹翰卿 and Hon-hing Wan. "Efficient real-time scheduling for multimedia data transmission." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227910.

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15

Morrill, Jeffrey P., and Jonathan Delatizky. "REAL-TIME RECOGNITION OF TIME-SERIES PATTERNS." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608854.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>This paper describes a real-time implementation of the pattern recognition technology originally developed by BBN [Delatizky et al] for post-processing of time-sampled telemetry data. This makes it possible to monitor a data stream for a characteristic shape, such as an arrhythmic heartbeat or a step-response whose overshoot is unacceptably large. Once programmed to recognize patterns of interest, it generates a symbolic description of a time-series signal in intuitive, object-oriented terms. The basic technique is to decompose the signal into a hierarchy of simpler components using rules of grammar, analogous to the process of decomposing a sentence into phrases and words. This paper describes the basic technique used for pattern recognition of time-series signals and the problems that must be solved to apply the techniques in real time. We present experimental results for an unoptimized prototype demonstrating that 4000 samples per second can be handled easily on conventional hardware.

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16

Narayanan, Shruthi (Shruthi P. ). "Real-time processing and visualization of intensive care unit data." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/119537.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 83).<br>Intensive care unit (ICU) patients undergo detailed monitoring so that copious information regarding their condition is available to support clinical decision-making. Full utilization of the data depends heavily on its quantity, quality and manner of presentation to the physician at the bedside of a patient. In this thesis, we implemented a visualization system to aid ICU clinicians in collecting, processing, and displaying available ICU data. Our goals for the system are: to be able to receive large quantities of patient data from various sources, to compute complex functions over the data that are able to quantify an ICU patient's condition, to plot the data using a clean and interactive interface, and to be capable of live plot updates upon receiving new data. We made significant headway toward our goals, and we succeeded in creating a highly adaptable visualization system that future developers and users will be able to customize.<br>by Shruthi Narayanan.<br>M. Eng.

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Chun, Yang, Yang Hongling, and Zhou Jie. "STUDY ON HIGH-RATE TELEMETRY DATA REAL-TIME PROCESSING TECHNIQUES." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608251.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>Owing to rapid development of PC industry, personal computer has been surprisingly improved on reliability and speed and it has been applied to many fields, such as aerospace, satellite and telemetry applications. As we all known, two aspects decide how fast the PC-based data acquisition can be reached. One aspect is CPU processing and the other is I/O bandwidth. Indeed, the first aspect has changed increasingly insignificant because the frequency of CPU has exceeded 700MHz which can satisfy fully the need of high rate data processing. So I/O bandwidth is the only key factor of the high rate PC-based data acquisition and we must adopt efficient data buffer techniques to satisfy the demand of telemetry data entry. This paper presents a buffered data channel which use memory mapping, EPLD and Dual-Port SRAM techniques. The operation platform of this design is WINDOWS95/98 and the software includes device driver and real-time processing routines.

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18

Sandys, Sean David. "Requirement specifications for communication in distributed real-time systems /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/7002.

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19

Ivan-Roşu, Daniela. "Dynamic resource allocation for adaptive real-time applications." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/9200.

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20

Chen, Deji. "Real-time data management in the distributed environment /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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21

Chadha, Sanjay. "A real-time system for multi-transputer systems." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29465.

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Two important problems namely a versatile, efficient communication system and allocation of processors to processes are analysed. An efficient communication system has been developed, in which a central controller, the bus-master, dynamically configures the point-to-point network formed by the links of the transputers. The links are used to form a point-to-point network. An identical kernel resides on each of the nodes. This kernel is responsible for all communications on behalf of the user processes. It makes ConnectLink and ReleaseLink requests to the central controller and when the connections are made it sends the the messages through the connected link to the destination node. If direct connection to the destination node cannot be made then the message is sent to an intermediate node, the message hops through intermediate nodes until it reaches the destination node. The communication system developed provides low latency communication facility, and the system can easily be expanded to include a large number of transputers without increasing interprocess communication overhead by great extent. Another problem, namely the Module Assignment Problem (MAP) is an important issue at the time of development of distributed systems. MAPs are computationally intractable, i.e. the computational requirement grows with power of the number of tasks to be assigned. The load of a distributed system depends on both module execution times, and intermodule communication cost (IMC). If assignment is not done with due consideration, a module assignment can cause computer saturation. Therefore a good assignment should balance the processing load among the processors and generate minimum inter-processor communication (IPC) ( communication between modules not residing on the same processor). Since meeting the deadline constraint is the most important performance measure for RTDPS, meeting the response time is the most important criteria for module assignment. Understanding this we have devised a scheme which assigns processes to processors such that both response time constraints and periodicity constraints are met. If such an assignment is not possible, assignment would fail and an error would be generated. Our assignment algorithm does not take into consideration factors such as load balancing. We believe that the most important factor for RTDPS is meeting the deadline constraints and that's what our algorithm accomplishes.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate

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22

Arshad, Norhashim Mohd. "Real-time data compression for machine vision measurement systems." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285284.

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23

Chang, Kuo-Lung. "A Real-Time Merging-Buffering Technique for MIDI Messages." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc500471/.

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A powerful and efficient algorithm has been designed to deal with the critical timing problem of the MIDI messages. This algorithm can convert note events stored in a natural way to MIDI messages dynamically. Only limited memory space (the buffer) is required to finish the conversion work, and the size of the buffer is independent of the size of the original sequence (notes). This algorithm's real-time variable properties suggest not only the flexible real-time controls in the use of musical aspects, but also the expandability to interactive multi-media applications. A compositional environment called MusicSculptor has been implemented in terms of this algorithm.

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24

Ghosh, Sushmita. "Real time data acquisition for load management." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45726.

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Demand for Data Transfer between computers has increased ever since the introduction of Personal Computers (PC). Data Communicating on the Personal Computer is much more productive as it is an intelligent terminal that can connect to various hosts on the same I/O hardware circuit as well as execute processes on its own as an isolated system. Yet, the PC on its own is useless for data communication. It requires a hardware interface circuit and software for controlling the handshaking signals and setting up communication parameters. Often the data is distorted due to noise in the line. Such transmission errors are imbedded in the data and require careful filtering. The thesis deals with the development of a Data Acquisition system that collects real time load and weather data and stores them as historical database for use in a load forecast algorithm in a load management system. A filtering technique has been developed here that checks for transmission errors in the raw data. The microcomputers used in this development are the IBM PC/XT and the AT&T 3B2 supermicro computer.<br>Master of Science

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Tian, Yu-Chu. "Dynamics analysis and integrated design of real-time control systems." School of Electrical and Information Engineering, 2009. http://hdl.handle.net/2123/5743.

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Doctor of Philosophy (PhD)<br>Real-time control systems are widely deployed in many applications. Theory and practice for the design and deployment of real-time control systems have evolved significantly. From the design perspective, control strategy development has been the focus of the research in the control community. In order to develop good control strategies, process modelling and analysis have been investigated for decades, and stability analysis and model-based control have been heavily studied in the literature. From the implementation perspective, real-time control systems require timeliness and predictable timing behaviour in addition to logical correctness, and a real-time control system may behave very differently with different software implementations of the control strategies on a digital controller, which typically has limited computing resources. Most current research activities on software implementations concentrate on various scheduling methodologies to ensure the schedulability of multiple control tasks in constrained environments. Recently, more and more real-time control systems are implemented over data networks, leading to increasing interest worldwide in the design and implementation of networked control systems (NCS). Major research activities in NCS include control-oriented and scheduling-oriented investigations. In spite of significant progress in the research and development of real-time control systems, major difficulties exist in the state of the art. A key issue is the lack of integrated design for control development and its software implementation. For control design, the model-based control technique, the current focus of control research, does not work when a good process model is not available or is too complicated for control design. For control implementation on digital controllers running multiple tasks, the system schedulability is essential but is not enough; the ultimate objective of satisfactory quality-of-control (QoC) performance has not been addressed directly. For networked control, the majority of the control-oriented investigations are based on two unrealistic assumptions about the network induced delay. The scheduling-oriented research focuses on schedulability and does not directly link to the overall QoC of the system. General solutions with direct QoC consideration from the network perspective to the challenging problems of network delay and packet dropout in NCS have not been found in the literature. This thesis addresses the design and implementation of real-time control systems with regard to dynamics analysis and integrated design. Three related areas have been investigated, namely control development for controllers, control implementation and scheduling on controllers, and real-time control in networked environments. Seven research problems are identified from these areas for investigation in this thesis, and accordingly seven major contributions have been claimed. Timing behaviour, quality of control, and integrated design for real-time control systems are highlighted throughout this thesis. In control design, a model-free control technique, pattern predictive control, is developed for complex reactive distillation processes. Alleviating the requirement of accurate process models, the developed control technique integrates pattern recognition, fuzzy logic, non-linear transformation, and predictive control into a unified framework to solve complex problems. Characterising the QoC indirectly with control latency and jitter, scheduling strategies for multiple control tasks are proposed to minimise the latency and/or jitter. Also, a hierarchical, QoC driven, and event-triggering feedback scheduling architecture is developed with plug-ins of either the earliest-deadline-first or fixed priority scheduling. Linking to the QoC directly, the architecture minimises the use of computing resources without sacrifice of the system QoC. It considers the control requirements, but does not rely on the control design. For real-time NCS, the dynamics of the network delay are analysed first, and the nonuniform distribution and multi-fractal nature of the delay are revealed. These results do not support two fundamental assumptions used in existing NCS literature. Then, considering the control requirements, solutions are provided to the challenging NCS problems from the network perspective. To compensate for the network delay, a real-time queuing protocol is developed to smooth out the time-varying delay and thus to achieve more predictable behaviour of packet transmissions. For control packet dropout, simple yet effective compensators are proposed. Finally, combining the queuing protocol, the packet loss compensation, the configuration of the worst-case communication delay, and the control design, an integrated design framework is developed for real-time NCS. With this framework, the network delay is limited to within a single control period, leading to simplified system analysis and improved QoC.

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Tian, Yu-Chu. "Dynamics analysis and integrated design of real-time control systems." Connect to full text, 2008. http://ses.library.usyd.edu.au/handle/2123/5743.

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Thesis (Ph. D.)--University of Sydney, 2009.<br>Title from title screen (viewed November 30, 2009). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Electrical and Information Engineering in the Faculty of Engineering & Information Technologies. Degree awarded 2009; thesis submitted 2008. Includes bibliographical references. Also available in print form.

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27

Craig, David W. (David William) Carleton University Dissertation Engineering Electrical. "Light traffic loss of random hard real-time tasks in a network." Ottawa, 1988.

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28

Kubota, Toshiro. "Orientational filters for real-time computer vision problems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/14691.

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29

O'Brien, R. Michael. "REAL-TIME TELEMETRY DATA FORMATTING FOR FLIGHT TEST ANALYSIS." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/608577.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>With today's telemetry systems, an hour-long analog test tape can be digitized in one hour or less. However, the digitized data produced by today's telemetry systems is usually not in a format that can be directly analyzed by the test engineer's analysis tools. The digitized data must be formatted before analysis can begin. The data formatting process can take from one to eight hours depending on the amount of data, the power of the system's host computer, and the complexity of the analysis software's data format. If more than one analysis package is used by the test engineer, the data has to be formatted separately for each package. Using today's high-speed RISC processors and large memory technology, a real-time Flexible Data Formatter can be added to the Telemetry Front End to perform this formatting function. The Flexible Data Formatter (FDF) allows the telemetry user to program the front-end hardware to output the telemetry test data in a format compatible with the user's analysis software. The FDF can also output multiple data files, each in a different format for supporting multiple analysis packages. This eliminates the file formatting step, thus reducing the time to process the data from each test by a factor of two to nine.

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Jun, Zhang, Feng MeiPing, Zhu Yanbo, He Bin, and Zhang Qishan. "A Real-Time Telemetry Data Processing System with Open System Architecture." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611667.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>In face of the characteristics of multiple data streams, high bit rate, variable data formats, complicated frame structure and changeable application environment, the programmable PCM telemetry system needs a new data processing system with advanced telemetry system architecture. This paper fully considers the characteristics of real-time telemetry data processing, analyzes the design of open system architecture for real-time telemetry data processing system(TDPS), presents an open system architecture scheme and design of real-time TDPS, gives the structure model of distributed network system, and develops the interface between network database and telemetry database, as well as telemetry processing software with man-machine interface. Finally, a practical and multi-functional real-time TDPS with open system architecture has been built, which based on UNIX operating system, supporting TCP/IP protocol and using Oracle relational database management system. This scheme and design have already proved to be efficient for real-time processing, high speed, mass storage and multi-user operation.

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31

Puchol, Carlos Miguel. "An automation-based design methodolgy [sic] for distributed, hard real-time systems /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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32

Ulrich, Markus. "Hierarachical real-time recognition of compound objects in images /." Munchen : Verlag der Bayerischen Akademie der Wissenschaften in Kommission beim Verlags C.H. Beck, 2003. http://www.loc.gov/catdir/toc/fy0607/2004457892.html.

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Goggins, Joe. "Distributing real time data from a multi-node large scale contact center using CORBA." [Denver, Colo.] : Regis University, 2007. http://165.236.235.140/lib/JGoggins2007.pdf.

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Powell, Richard, and Jeff Kuhn. "HARDWARE- VS. SOFTWARE-DRIVEN REAL-TIME DATA ACQUISITION." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608291.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>There are two basic approaches to developing data acquisition systems. The first is to buy or develop acquisition hardware and to then write software to input, identify, and distribute the data for processing, display, storage, and output to a network. The second is to design a system that handles some or all of these tasks in hardware instead of software. This paper describes the differences between software-driven and hardware-driven system architectures as applied to real-time data acquisition systems. In explaining the characteristics of a hardware-driven system, a high-performance real-time bus system architecture developed by L-3 will be used as an example. This architecture removes the bottlenecks and unpredictability that can plague software-driven systems when applied to complex real-time data acquisition applications. It does this by handling the input, identification, routing, and distribution of acquired data without software intervention.

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35

Balupari, Ravindra. "Real-time network-based anomaly intrusion detection." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174579398.

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36

Bihari, Thomas Edward. "Adapting real-time software for reliable performance /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487326511714772.

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37

Anikwue, Arinze. "Real-time probabilistic reasoning system using Lambda architecture." Thesis, Cape Peninsula University of Technology, 2019. http://hdl.handle.net/20.500.11838/3086.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2019<br>The proliferation of data from sources like social media, and sensor devices has become overwhelming for traditional data storage and analysis technologies to handle. This has prompted a radical improvement in data management techniques, tools and technologies to meet the increasing demand for effective collection, storage and curation of large data set. Most of the technologies are open-source. Big data is usually described as very large dataset. However, a major feature of big data is its velocity. Data flow in as continuous stream and require to be actioned in real-time to enable meaningful, relevant value. Although there is an explosion of technologies to handle big data, they are usually targeted at processing large dataset (historic) and real-time big data independently. Thus, the need for a unified framework to handle high volume dataset and real-time big data. This resulted in the development of models such as the Lambda architecture. Effective decision-making requires processing of historic data as well as real-time data. Some decision-making involves complex processes, depending on the likelihood of events. To handle uncertainty, probabilistic systems were designed. Probabilistic systems use probabilistic models developed with probability theories such as hidden Markov models with inference algorithms to process data and produce probabilistic scores. However, development of these models requires extensive knowledge of statistics and machine learning, making it an uphill task to model real-life circumstances. A new research area called probabilistic programming has been introduced to alleviate this bottleneck. This research proposes the combination of modern open-source big data technologies with probabilistic programming and Lambda architecture on easy-to-get hardware to develop a highly fault-tolerant, and scalable processing tool to process both historic and real-time big data in real-time; a common solution. This system will empower decision makers with the capacity to make better informed resolutions especially in the face of uncertainty. The outcome of this research will be a technology product, built and assessed using experimental evaluation methods. This research will utilize the Design Science Research (DSR) methodology as it describes guidelines for the effective and rigorous construction and evaluation of an artefact. Probabilistic programming in the big data domain is still at its infancy, however, the developed artefact demonstrated an important potential of probabilistic programming combined with Lambda architecture in the processing of big data.

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38

Yao, Li-Jun. "Real-time communications in token ring networks." Title page, abstract and contents only, 1994. http://web4.library.adelaide.edu.au/theses/09PH/09phy248.pdf.

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BenDor, Jonathan, and J. D. Baker. "Processing Real-Time Telemetry with Multiple Embedded Processors." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611671.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>This paper describes a system in which multiple embedded processors are used for real-time processing of telemetry streams from satellites and radars. Embedded EPC-5 modules are plugged into VME slots in a Loral System 550. Telemetry streams are acquired and decommutated by the System 550, and selected parameters are packetized and appended to a mailbox which resides in VME memory. A Windows-based program continuously fetches packets from the mailbox, processes the data, writes to log files, displays processing results on screen, and sends messages via a modem connected to a serial port.

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Zamam, Mohamad. "A unified framework for real-time streaming and processing of IoT data." Thesis, Linnéuniversitetet, Institutionen för medieteknik (ME), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-66057.

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The emergence of the Internet of Things (IoT) is introducing a new era to the realm of computing and technology. The proliferation of sensors and actuators that are embedded in things enables these devices to understand the environments and respond accordingly more than ever before. Additionally, it opens the space to unlimited possibilities for building applications that turn this sensation into big benefits, and within various domains. From smart cities to smart transportation and smart environment and the list is quite long. However, this revolutionary spread of IoT devices and technologies rises big challenges. One major challenge is the diversity in IoT vendors that results in data heterogeneity. This research tackles this problem by developing a data management tool that normalizes IoT data. Another important challenge is the lack of practical IoT technology with low cost and low maintenance. That has often limited large-scale deployments and mainstream adoption. This work utilizes open-source data analytics in one unified IoT framework in order to address this challenge. What is more, billions of connected things are generating unprecedented amounts of data from which intelligence must be derived in real-time. This unified framework processes real-time streams of data from IoT. A questionnaire that involved participants with background knowledge in IoT was conducted in order to collect feedback about the proposed framework. The aspects of the framework were presented to the participants in a form of demonstration video describing the work that has been done. Finally, using the participants’ feedback, the contribution of the developed framework to the IoT was discussed and presented.

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Ho, Kin-wing Oscar, and 何建榮. "Development of RFID-enabled workstation gateway for real-time manufacturing execution." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43572029.

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Lenharth, Andrew D. "Algorithms for stable allocations in distributed real-time resource management systems." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1102697777.

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Agafonov, Evgeny. "Fuzzy and multi-resolution data processing for advanced traffic and travel information." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271790.

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Acevedo, Rafael A. "Valued information at the right time (VIRT) and the Navy's cooperative engagement capability (CEC) - a win/win proposition." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FAcevedo.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2006.<br>Thesis Advisor(s): Rick Hayes-Roth, Curtis Blais. Includes bibliographical references (p. 65-68). Also available online.

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Misra, Pradyumna Kumar. "Real time multitasking system application incorporating VRTX." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/41577.

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<p>The real time multitasking systems are becoming increasingly popular for control and monitoring functions typically encountered in industry as well as day to day life. They have to manage adequately many concurrent processes or tasks, each of which is sequential in nature. The concurrency is achieved by running asynchronous tasks at different speeds and providing for communication and synchronization. In order to fully exploit the power and capabilities of today's sophisticated microprocessors and to provide a programming methodology for structuring real time applications a real time multitasking operating system becomes critical.</p><br>Master of Science

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Devadason, Tarith Navendran. "The virtual time function and rate-based schedulers for real-time communications over packet networks." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0108.

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[Truncated abstract] The accelerating pace of convergence of communications from disparate application types onto common packet networks has made quality of service an increasingly important and problematic issue. Applications of different classes have diverse service requirements at distinct levels of importance. Also, these applications offer traffic to the network with widely variant characteristics. Yet a common network is expected at all times to meet the individual communication requirements of each flow from all of these application types. One group of applications that has particularly critical service requirements is the class of real-time applications, such as packet telephony. They require both the reproduction of a specified timing sequence at the destination, and nearly instantaneous interaction between the users at the endpoints. The associated delay limits (in terms of upper bound and variation) must be consistently met; at every point where these are violated, the network transfer becomes worthless, as the data cannot be used at all. In contrast, other types of applications may suffer appreciable deterioration in quality of service as a result of slower transfer, but the goal of the transfer can still largely be met. The goal of this thesis is to evaluate the potential effectiveness of a class of packet scheduling algorithms in meeting the specific service requirements of real-time applications in a converged network environment. Since the proposal of Weighted Fair Queueing, there have been several schedulers suggested to be capable of meeting the divergent service requirements of both real-time and other data applications. ... This simulation study also sheds light on false assumptions that can be made about the isolation produced by start-time and finish-time schedulers based on the deterministic bounds obtained. The key contributions of this work are as follows. We clearly show how the definition of the virtual time function affects both delay bounds and delay distributions for a real-time flow in a converged network, and how optimality is achieved. Despite apparent indications to the contrary from delay bounds, the simulation analysis demonstrates that start-time rate-based schedulers possess useful characteristics for real-time flows that the traditional finish-time schedulers do not. Finally, it is shown that all the virtual time rate-based schedulers considered can produce isolation problems over multiple hops in networks with high loading. It becomes apparent that the benchmark First-Come-First-Served scheduler, with spacing and call admission control at the network ingresses, is a preferred arrangement for real-time flows (although lower priority levels would also need to be implemented for dealing with other data flows).

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Tamborrino, Alexandre. "A Real-Time Reactive Platform for Data Integration and Event Stream Processing." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177203.

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This thesis presents a Real-time Reactive platform for Data Integration and Event Stream Processing. The Data Integration part is composed of data pullers that incrementally pull data changes from REST data sources and propagates them as streams of immutable events across the system according to the Event-Sourcing principle. The Stream Processing part is a Tree-like structure of event-sourced stream processors where a processor can react in various ways to events sent by its parent and send derived sub-streams of events to child processors. A processor use case is maintaining a pre-computed view on aggregated data, which allows to define low read latency business dashboards that are updated in real-time. The platform follows the Reactive architecture principles to maximize performance and minimize resource consumption using an asynchronous nonblocking architecture with an adaptive push-pull stream processing model with automatic back-pressure. Moreover, the platform uses functional programming abstractions for simple and composable asynchronous programming. Performance tests have been performed on a prototype application, which validates the architecture model by showing expected performance patterns concerning event latency between the top of the processing tree and the leaves, and expected fault-tolerance behaviours with acceptable recovery times.

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Lefloch, Damien [Verfasser]. "Real-time processing of range data focusing on environment reconstruction / Damien Lefloch." Siegen : Universitätsbibliothek der Universität Siegen, 2019. http://d-nb.info/1177366398/34.

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Ho, Eric TszLeung 1979. "A real-time system for processing, sharing, and display of physiology data." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87405.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 61).<br>by Eric TszLeung Ho.<br>M.Eng.and S.B.

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Tallberg, Sebastian. "A COMPARISON OF DATA INGESTION PLATFORMS IN REAL-TIME STREAM PROCESSING PIPELINES." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48744.

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In recent years there has been an increasing demand for real-time streaming applications that handle large volumes of data with low latency. Examples of such applications include real-time monitoring and analytics, electronic trading, advertising, fraud detection, and more. In a streaming pipeline the first step is ingesting the incoming data events, after which they can be sent off for processing. Choosing the correct tool that satisfies application requirements is an important technical decision that must be made. This thesis focuses entirely on the data ingestion part by evaluating three different platforms: Apache Kafka, Apache Pulsar and Redis Streams. The platforms are compared both on characteristics and performance. Architectural and design differences reveal that Kafka and Pulsar are more suited for use cases involving long-term persistent storage of events, whereas Redis is a potential solution when only short-term persistence is required. They all provide means for scalability and fault tolerance, ensuring high availability and reliable service. Two metrics, throughput and latency, were used in evaluating performance in a single node cluster. Kafka proves to be the most consistent in throughput but performs the worst in latency. Pulsar manages high throughput with low message sizes but struggles with larger message sizes. Pulsar performs the best in overall average latency across all message sizes tested, followed by Redis. The tests also show Redis being the most inconsistent in terms of throughput potential between different message sizes

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