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Journal articles on the topic 'Implementation in real time'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Sonule, Nikit, Prof M. S. Khatib, and Prof Farhenna Shaikh. "Implementation of Real-Time Taxi Ride Sharing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 891–95. http://dx.doi.org/10.31142/ijtsrd11171.

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2

C. Jithendar, C. Jithendar, and Praveen Kumar Landela. "FPGA Implementation of Real Time Ethernet Communication Using RGMII Interface." International Journal of Scientific Research 2, no. 3 (2012): 175–77. http://dx.doi.org/10.15373/22778179/mar2013/56.

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3

V, Ponkarthick, and Dr Kala S. "FPGA Implementation of Real Time Video Edge Detection by Using Different Filter." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue Active Galaxy (2018): 1–6. http://dx.doi.org/10.31142/ijtsrd14324.

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4

Auslander, D. M. "Control Implementation: Real Time Multitasking/Multiprocessing." IFAC Proceedings Volumes 25, no. 12 (1991): 181–87. http://dx.doi.org/10.1016/s1474-6670(17)50110-x.

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5

Bergamo, P., D. Maniezzo, K. Yao, and G. Mazzini. "Real time implementation of acoustical beamforming." IFAC Proceedings Volumes 36, no. 12 (2003): 59–64. http://dx.doi.org/10.1016/s1474-6670(17)32514-4.

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6

Muthana R. et. al., Al-Sultan. "Real Time Implementation of Stegofirewall System." International Journal of Computing and Digital Systems 8, no. 5 (2019): 497–504. http://dx.doi.org/10.12785/ijcds/080507.

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7

Aranha, Rohan F. M., Venkatesh Ganti, Srinivasa Narayanan, C. R. Muthukrishnan, S. T. S. Prasad, and Krithi Ramamritham. "Implementation of a real-time database system." Information Systems 21, no. 1 (1996): 55–74. http://dx.doi.org/10.1016/s0306-4379(96)00004-x.

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8

Kim, Jonghyuk, and Salah Sukkarieh. "Real-time implementation of airborne inertial-SLAM." Robotics and Autonomous Systems 55, no. 1 (2007): 62–71. http://dx.doi.org/10.1016/j.robot.2006.06.006.

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9

Abdullah, Dhuha Basheer, and Basil Shukr Mahmood. "Implementation strategy for real-time kernel (RTDM)." International Journal of Reasoning-based Intelligent Systems 4, no. 4 (2012): 197. http://dx.doi.org/10.1504/ijris.2012.051719.

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10

Shi, Chang Zhen, and Zhen Song Wang. "Real-Time Implementation of Chirp Scaling Algorithm." Applied Mechanics and Materials 58-60 (June 2011): 1113–18. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1113.

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Echo data generated by Synthetic aperture radar (SAR) has the characteristics of high data rate and huge data quantity. However, the complex Chirp Scaling (CS) algorithm in SAR processing leads to excessive calculations. To solve this problem, this paper presents an implementation on a parallel structure real-time image processing board, which adopts principal-subordinate parallel processing structures. The principal FPGA board is responsible for the control of the entire image processing, data collection, distribution and interaction. Each subordinate FPGA, as an independent processing unit, is able to independently finish the FFT transformation and phase factor compensation. The performance of the high-performance parallel FFT processors is 4 times as efficient as that of a single butterfly processor.The phase factor generation and compensation is optimized through two steps, one is fast algorithm in phase factor generation and compensation; the other is the optimization among the processing procedures,The proposed architecture can process an image in size16384 × 65536 at 100MHZ operation frequency within 12.5s.

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11

Foster, Scott. "Real‐time implementation of spatial auditory displays." Journal of the Acoustical Society of America 92, no. 4 (1992): 2332. http://dx.doi.org/10.1121/1.404983.

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12

Ohba, Kohtaro, Ryoichi Dangi, Jesus Carlos Pedraza Ortega, et al. "Implementation of Real Time Micro VR Camera." IEEJ Transactions on Sensors and Micromachines 120, no. 6 (2000): 264–71. http://dx.doi.org/10.1541/ieejsmas.120.264.

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13

Duen-Jeng Wang and Yu Hen Hu. "Multiprocessor implementation of real-time DSP algorithms." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 3, no. 3 (1995): 393–403. http://dx.doi.org/10.1109/92.406997.

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14

Herold, David, Robert Nation, Geoffrey Edelson, and Eric Will. "Implementation of real‐time acoustic communications systems." Journal of the Acoustical Society of America 103, no. 5 (1998): 2854. http://dx.doi.org/10.1121/1.421992.

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15

Oakley, Howard. "An implementation guide to real-time programming." Microprocessors and Microsystems 14, no. 8 (1990): 552. http://dx.doi.org/10.1016/0141-9331(90)90059-5.

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16

Zhang, Bin, and Jizhong Zhao. "Hardware Implementation for Real-Time Haze Removal." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, no. 3 (2017): 1188–92. http://dx.doi.org/10.1109/tvlsi.2016.2622404.

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17

Kim, Saehwa, Sukjae Cho, and Seongsoo Hong. "Automated Implementation of Distributed Real-Time Systems using Real-Time Object-Oriented Modeling." IFAC Proceedings Volumes 33, no. 30 (2000): 121–26. http://dx.doi.org/10.1016/s1474-6670(17)36740-x.

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18

Ponni, Mrs R., S. Manisha, and A. Monisha G. Nandhini R. Priyatharcini. "Real Time Implementation and Investigation of Wireless Device of Electrical Stimulation for Peripheral Nevers." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 91–95. http://dx.doi.org/10.31142/ijtsrd21672.

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19

Ravankar, Abhijeet, Yukinori Kobayashi, Ankit Ravankar, Takanori Emaru, and Lv Jixin. "2A1-S04 Real Time Parallel Implementation of Dynamic Feature Detection on Embedded Robot Platforms." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2A1—S04_1—_2A1—S04_3. http://dx.doi.org/10.1299/jsmermd.2015._2a1-s04_1.

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20

Ying-Yi Hong and Yu-Qing Bao. "FPGA Implementation for Real-Time Empirical Mode Decomposition." IEEE Transactions on Instrumentation and Measurement 61, no. 12 (2012): 3175–84. http://dx.doi.org/10.1109/tim.2012.2211460.

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21

Yabana, K., T. Nakatsukasa, J. I. Iwata, and G. F. Bertsch. "Real-time, real-space implementation of the linear response time-dependent density-functional theory." physica status solidi (b) 243, no. 5 (2006): 1121–38. http://dx.doi.org/10.1002/pssb.200642005.

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22

Rossi, Matija, Petar Trslić, Satja Sivčev, James Riordan, Daniel Toal, and Gerard Dooly. "Real-Time Underwater StereoFusion." Sensors 18, no. 11 (2018): 3936. http://dx.doi.org/10.3390/s18113936.

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Many current and future applications of underwater robotics require real-time sensing and interpretation of the environment. As the vast majority of robots are equipped with cameras, computer vision is playing an increasingly important role it this field. This paper presents the implementation and experimental results of underwater StereoFusion, an algorithm for real-time 3D dense reconstruction and camera tracking. Unlike KinectFusion on which it is based, StereoFusion relies on a stereo camera as its main sensor. The algorithm uses the depth map obtained from the stereo camera to incrementally build a volumetric 3D model of the environment, while simultaneously using the model for camera tracking. It has been successfully tested both in a lake and in the ocean, using two different state-of-the-art underwater Remotely Operated Vehicles (ROVs). Ongoing work focuses on applying the same algorithm to acoustic sensors, and on the implementation of a vision based monocular system with the same capabilities.

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23

Santos-González, Iván, Alexandra Rivero-García, Jezabel Molina-Gil, and Pino Caballero-Gil. "Implementation and Analysis of Real-Time Streaming Protocols." Sensors 17, no. 4 (2017): 846. http://dx.doi.org/10.3390/s17040846.

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24

Guimarães, Caio José B. V., and Marcelo A. C. Fernandes. "Real-time Neural Networks Implementation Proposal for Microcontrollers." Electronics 9, no. 10 (2020): 1597. http://dx.doi.org/10.3390/electronics9101597.

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The adoption of intelligent systems with Artificial Neural Networks (ANNs) embedded in hardware for real-time applications currently faces a growing demand in fields such as the Internet of Things (IoT) and Machine to Machine (M2M). However, the application of ANNs in this type of system poses a significant challenge due to the high computational power required to process its basic operations. This paper aims to show an implementation strategy of a Multilayer Perceptron (MLP)-type neural network, in a microcontroller (a low-cost, low-power platform). A modular matrix-based MLP with the full classification process was implemented as was the backpropagation training in the microcontroller. The testing and validation were performed through Hardware-In-the-Loop (HIL) of the Mean Squared Error (MSE) of the training process, classification results, and the processing time of each implementation module. The results revealed a linear relationship between the values of the hyperparameters and the processing time required for classification, also the processing time concurs with the required time for many applications in the fields mentioned above. These findings show that this implementation strategy and this platform can be applied successfully in real-time applications that require the capabilities of ANNs.

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25

Jerez, Juan L., George A. Constantinides, Eric C. Kerrigan, and Keck-Voon Ling. "Parallel MPC for Real-Time FPGA-based Implementation." IFAC Proceedings Volumes 44, no. 1 (2011): 1338–43. http://dx.doi.org/10.3182/20110828-6-it-1002.01392.

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26

Ergüzen, Atilla, and Kadir Erol. "A real time virtual classroom implementation with WebRTC." Pamukkale University Journal of Engineering Sciences 23, no. 5 (2017): 566–72. http://dx.doi.org/10.5505/pajes.2017.96530.

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27

XIANG Shou-bing, 向守兵, 苏光大 SU Guang-da, 任小龙 REN Xiao-long, 吉倩倩 JI Qian-qian, and 方飞 FANG Fei. "Embedded implementation of real-time finger interaction system." Optics and Precision Engineering 19, no. 8 (2011): 1911–20. http://dx.doi.org/10.3788/ope.20111908.1911.

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28

Valera, A., M. Vallés, and J. Tornero. "Real-Time Robot Control Implementation with Matlab/Simulink." IFAC Proceedings Volumes 34, no. 9 (2001): 527–32. http://dx.doi.org/10.1016/s1474-6670(17)41762-9.

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29

Andre, Charles, and Marie-Agnès Peraldi. "Hard Real-Time System Implementation on a Microcontroller." IFAC Proceedings Volumes 25, no. 11 (1992): 185–89. http://dx.doi.org/10.1016/s1474-6670(17)50145-7.

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30

Kulhavý, R., I. Nagy, and J. Spousta. "Towards Real-Time Implementation of Bayesian Parameter Estimation." IFAC Proceedings Volumes 25, no. 14 (1992): 35–40. http://dx.doi.org/10.1016/s1474-6670(17)50709-0.

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31

Andre, Charles, and Luc Fancelli. "A mixed implementation of a real-time system." Microprocessing and Microprogramming 30, no. 1-5 (1990): 397–402. http://dx.doi.org/10.1016/0165-6074(90)90273-c.

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32

Lo, Pei-Chen, and Yu-Yun Lee. "Real-time implementation of the moving FFT algorithm." Signal Processing 79, no. 3 (1999): 251–59. http://dx.doi.org/10.1016/s0165-1684(99)00098-5.

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33

Ramírez-Torres, M. T., M. Mejía-Carlos, and J. S. Murguía. "Numerical implementation of a real-time encryption system." Procedia Engineering 35 (2012): 182–91. http://dx.doi.org/10.1016/j.proeng.2012.04.179.

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34

Wirth, Allan, Joseph Navetta, Douglas Looze, Stefan Hippler, Andreas Glindemann, and Donald Hamilton. "Real-time modal control implementation for adaptive optics." Applied Optics 37, no. 21 (1998): 4586. http://dx.doi.org/10.1364/ao.37.004586.

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35

G.Gupta, Neha, Rajesh D Thakre, and Yogesh A. Suryawanshi. "Real Time Implementation of Vehicular Ad-hoc Network." International Journal of Engineering Trends and Technology 45, no. 3 (2017): 121–26. http://dx.doi.org/10.14445/22315381/ijett-v45p227.

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36

Jang, Se-Hoon. "Real-time implementation of multiview image synthesis system." Optical Engineering 46, no. 4 (2007): 047005. http://dx.doi.org/10.1117/1.2716386.

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37

Gautier, M. "Real-Time Implementation of Dynamic Control of Robot." IFAC Proceedings Volumes 21, no. 16 (1988): 243–48. http://dx.doi.org/10.1016/s1474-6670(17)54617-0.

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38

Badrick, Tony, Andreas Bietenbeck, Alex Katayev, Huub H. van Rossum, Tze Ping Loh, and Mark A. Cervinski. "Implementation of patient-based real-time quality control." Critical Reviews in Clinical Laboratory Sciences 57, no. 8 (2020): 532–47. http://dx.doi.org/10.1080/10408363.2020.1765731.

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39

Govindasamy, Saravanan, and Yamuna Govindarajan. "Real-time implementation of various colour space models." International Journal of Circuits and Architecture Design 2, no. 3/4 (2016): 258. http://dx.doi.org/10.1504/ijcad.2016.089654.

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40

Govindasamy, Saravanan, and Yamuna Govindarajan. "Real-time implementation of various colour space models." International Journal of Circuits and Architecture Design 2, no. 3/4 (2016): 258. http://dx.doi.org/10.1504/ijcad.2016.10010736.

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41

Bergeron, Stephen, and Alain Vincent. "Implementation strategies for real-time particle transport solver." Computer Physics Communications 120, no. 2-3 (1999): 177–84. http://dx.doi.org/10.1016/s0010-4655(99)00234-9.

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42

Szilas, Nicolas, Jason Barles, and Manolya Kavakli. "An implementation of real-time 3D interactive drama." Computers in Entertainment 5, no. 1 (2007): 5. http://dx.doi.org/10.1145/1236224.1236233.

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43

., Sherin Cherian. "REAL TIME IMPLEMENTATION OF OBJECT TRACKING THROUGH WEBCAM." International Journal of Research in Engineering and Technology 03, no. 13 (2014): 128–32. http://dx.doi.org/10.15623/ijret.2014.0313025.

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44

Nakano, Takumi, Andy Utama, Mitsuyoshi Itabashi, Akichika Shiomi, and Masaharu Imai. "Hardware Implementation of a Real-time Operating System." IEEJ Transactions on Electronics, Information and Systems 116, no. 1 (1996): 117–24. http://dx.doi.org/10.1541/ieejeiss1987.116.1_117.

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45

R, Selva Kumar, Reshma R S, and Mahima K. "Real Time Implementation of Smart Bin using IOT." International Journal of Electronics and Communication Engineering 6, no. 3 (2019): 10–14. http://dx.doi.org/10.14445/23488549/ijece-v6i3p102.

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46

Salamat Sharif, S., J. H. Taylor, E. F. Hill, B. Scott, and D. Daley. "Real-time implementation of optimal reactive power flow." IEEE Power Engineering Review 20, no. 8 (2000): 47–51. http://dx.doi.org/10.1109/39.857454.

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47

Eilouti, H. H., and L. M. Khadra. "Optimised implementation of real-time discrete Wigner distribution." Electronics Letters 25, no. 11 (1989): 706–7. http://dx.doi.org/10.1049/el:19890478.

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48

Sje Yin, Teo, P. Ehkan, Soon Voon Siew, Lam Chee Yuen, and M. N.M.Warip. "FPGA Implementation of Real Time String Colour Detection." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 1 (2017): 139. http://dx.doi.org/10.11591/ijeecs.v6.i1.pp139-147.

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<p>A Machine vision for string detection is useful technologies which benefit to the industries such as food production. It reduces the risk that can harmful to our health and it can do work more accurate and efficient. The algorithm used is a colour detection which determines the colour of string and background subtraction for filter process by using the threshold range values. The target of detection focuses on plastic string with two different colours; pink and yellow strings. The threshold values used in hardware detection are ranged from 158 to 175 and 3 to 35 for pink and yellow string colours, respectively. The result shows that an object tied with strings is able to be detected and captured by using this system. Overall, this project is successfully developed and achieved the goal for real time detecting a string which is implemented on FPGA.</p>

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49

Al-Ani, Muzhir Shaban. "Hardware Implementation of a Real Time Image Compression." IOSR Journal of Computer Engineering 19, no. 03 (2017): 06–13. http://dx.doi.org/10.9790/0661-1903050613.

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50

Sedaaghi, M. H., and Q. H. Wu. "Real-time implementation of grey-scale morphological operators." Electronics Letters 33, no. 21 (1997): 1761. http://dx.doi.org/10.1049/el:19971095.

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