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Journal articles on the topic 'Real-time system'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

T. D. Shep, T. D. Shep, Prof N. R. Kolhare Prof. N. R. Kolhare, and Prof R. K. Kanhe Prof. R. K. Kanhe. "Real Time ECG Measurement System." Indian Journal of Applied Research 3, no. 9 (October 1, 2011): 222–25. http://dx.doi.org/10.15373/2249555x/sept2013/68.

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2

Bandegiri, Ajinkya Anant, and Pradip Chandrakant Bhaskar. "Real Time Health Monitoring System: A Review." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 820–23. http://dx.doi.org/10.31142/ijtsrd7092.

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3

Singh, Abhishek Kumar, Sachin Khatri, Kartik Gautam, and Rimpy Rimpy. "Real Time Parking Availability and Management System." International Journal of Research Publication and Reviews 5, no. 4 (April 11, 2024): 7333–39. http://dx.doi.org/10.55248/gengpi.5.0424.10109.

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4

Wadhwa, Lalit Kumar, Vishnu Priye, Reshma Muralidharan, Chitralekha Ruikar, and Venancius Norman. "Real Time Location Tracking System for Metal Miners." International Journal of Future Computer and Communication 3, no. 4 (2014): 267–70. http://dx.doi.org/10.7763/ijfcc.2014.v3.309.

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5

Panigrahi, Rajeeb Lochan, and Murali Krishna Senapaty. "Real time system for software Engineering: An overview." Global Journal For Research Analysis 3, no. 1 (June 15, 2012): 25–27. http://dx.doi.org/10.15373/22778160/january2014/10.

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6

Ganeshpurkar, Pallavi. "Research on Static Rate Monotonic Real Time Scheduling System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 203–7. http://dx.doi.org/10.31142/ijtsrd12913.

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7

Gohil, Yashpalsinh, and Jay Desai. "Real-Time Tracking and Fuel Monitoring System for Vehicle." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 544–46. http://dx.doi.org/10.31142/ijtsrd13036.

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8

Prajapati, Chandrakant D., and Sanjay B. Patel. "Application of Computer & Engineerning: Applying Real Time System." Indian Journal of Applied Research 1, no. 12 (October 1, 2011): 43–44. http://dx.doi.org/10.15373/2249555x/sep2012/15.

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9

Nirgude, Vaishali, and Sheetal Rathi. "i-PomDiagnoser: A Real-Time Pomegranate Disease Management System." Indian Journal Of Science And Technology 17, no. 14 (April 3, 2024): 1391–401. http://dx.doi.org/10.17485/ijst/v17i14.57.

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Objectives: Designing and developing i-PomDiagnoser: a real-time pomegranate disease management system for disease detection, classification, prediction, recommending preventive measures, and analyzing abrupt climatic changes and their impact on pomegranates. Methods: A data collection framework has been designed and developed using an agriculture drone, sensors, camera, and other equipment to collect real field pomegranate images and micro-level parameters. Comprehensive Exploratory Data Analysis (EDA) and Feature Selection (FS) processes were carried out to improve the accuracy of disease classification and forecasting models. ML-based Binary, Multimodel, and Multilabel classifiers were implemented for disease classification. The models were trained on 11 years of historical data and tested on 5 months of actual field data. A hybrid pomegranate disease forecasting model has been developed for accurately forecasting micro-level parameters for the next 45 days to predict diseases. Findings: Micro-level (weather, soil, water) parameters specific to the agro-climatic zone were collected. The five most prominent distinct diseases are considered for experimentation namely Bacterial Blight (Telya), Anthracnose, Fruit spot, Fusarium Wilt, and Fruit borer. The proposed Improved Ensemble Multilabel Classifier (i-Ensemble-MLC) with a modified voting scheme has achieved a high classification accuracy of 95.82%, addressing model overfitting and data imbalance. Moreover, the hybrid pomegranate disease forecasting model, combining LSTM and i-Ensemble-MLC, demonstrated better performance with minimal error rates (MSE: 0.003, RMSE: 0.071, MAE: 0.048, R2: 0.7) compared to the existing model1 (MSE:0.037, MAE:0.028). Novelty: The novelty lies in the creation of the all-in-one model, i-PomDiagnoser. This innovative system helps the farmers to correctly detect and predict the most prominent diseases of pomegranate. Keywords: Pomegranate, Agriculture, Disease Forecasting, Machine Learning, Deep Learning

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10

Purva, Ms Ranaware, Ms Shelke Pratiksha, Ms Lavale Abhilasha, and Ms Snehal Sabale. "Real Time Parking Availability and Management System. IoT Based Health Tracking System." International Journal of Research Publication and Reviews 5, no. 4 (April 11, 2024): 7328–32. http://dx.doi.org/10.55248/gengpi.5.0424.10110.

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11

Rank Taylor Hobson. "Real-time thermography system." NDT International 23, no. 1 (February 1990): 52. http://dx.doi.org/10.1016/0308-9126(90)91584-g.

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12

Rank Taylor Hobson. "Real-time thermography system." NDT & E International 23, no. 1 (February 1990): 52. http://dx.doi.org/10.1016/0963-8695(90)90848-d.

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13

Werner, Anna. "Real Time Analytical System:." BHM Berg- und Hüttenmännische Monatshefte 157, no. 6-7 (August 2012): 288–89. http://dx.doi.org/10.1007/s00501-012-0037-4.

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14

Al Ahasan, Md Abdullah, Saumendu Roy, A. H. M. Saim, Rozina Akter, and Md Zakir Hossain. "Arduino-Based Real Time Air Quality and Pollution Monitoring System." International Journal of Innovative Research in Computer Science & Technology 6, no. 4 (July 2018): 81–86. http://dx.doi.org/10.21276/ijircst.2018.6.4.8.

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15

V., Deepak. "System for Observing and Recording School Buses in Real Time." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 3068–72. http://dx.doi.org/10.37200/ijpr/v24i5/pr202013.

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16

Trung, Tran Thai, Seon-Ju Ahn, and Joon-Ho Choi. "Real Time Simulation of Distribution System with Distributed Energy Resources." Journal of Clean Energy Technologies 3, no. 1 (2015): 57–61. http://dx.doi.org/10.7763/jocet.2015.v3.169.

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17

Sheng-Bo Huang, Sheng-Bo Huang, Chin-Feng Lai Sheng-Bo Huang, and Yu-Lin Jeng Chin-Feng Lai. "Real-Time Feedback Learning System Based on Programming Logs Analysis." 網際網路技術學刊 22, no. 4 (July 2021): 779–87. http://dx.doi.org/10.53106/160792642021072204006.

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18

Mohammed, Mohammed Ali, Dr Karim Q. Hussein, and Dr Mustafa Dhiaa Al-Hassani. "Real Time Mobile Cloud Audio Reading System for Blind Persons." Webology 19, no. 1 (January 20, 2022): 311–23. http://dx.doi.org/10.14704/web/v19i1/web19024.

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According to the World Health Organization there are approximately 285 million blind people around the world. These people are faced challenges when reading a book. This paper aims to design and implementation new real time mobile cloud audio reading system for blind persons. The proposed methodology consists of following steps: In Client Side, firstly, capture image of text by camera. Secondly, check the page localization. Thirdly, send image to server. In Cloud Side (Server Side), firstly, apply the modify EAST algorithm on received image to text detection. Secondly, apply OCR algorithm to extract text from image. Thirdly, apply post-processing step to correct the in corrected text. Finally, return text to client side to speak it using text-to-speech algorithm.

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19

Raj, Piyush, Deepak Dhormare, and Samrika Singh Snehal Nawade Prof R. U. Yawale. "Automatic Real Time System for Traffic Security and Violation Detection." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 116–21. http://dx.doi.org/10.31142/ijtsrd10700.

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20

Phyo, Ei Mon, Nay Win Zaw, and Aye Aye Tun. "Real-Time Face Detection Security System using Haar Classifier Method." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2453–56. http://dx.doi.org/10.31142/ijtsrd18353.

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21

Ganeshpurkar, Pallavi. "Investigative Study on Scheduling Procedures for Real Time Operating System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 770–74. http://dx.doi.org/10.31142/ijtsrd7094.

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22

Raghuvanshi, Durgesh. "Study on Real-time Operating System and its Scheduling Procedures." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 1368–70. http://dx.doi.org/10.31142/ijtsrd8210.

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23

Ullah, Najeeb, Faizullah Khan, Abdul Ali Khan, Surat Khan, Abdul Wahid Tareen, Muhammad Saeed, and Akbar Khan. "Optimal Real-time Static and Dynamic Air Quality Monitoring System." Indian Journal of Science and Technology 13, no. 1 (January 20, 2020): 1–12. http://dx.doi.org/10.17485/ijst/2020/v13i01/148375.

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24

CHA, Joo-Heon, and Sun-Ho LEE. "2410 The Real-time Collaborative Design System in Distributed Environment." Proceedings of Design & Systems Conference 2005.15 (2005): 394–97. http://dx.doi.org/10.1299/jsmedsd.2005.15.394.

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25

OCHIAI, Hajime, Tatsuya NAKAMURA, and Masashi KITAI. "1F14 Real-time Train Traffic Operation Assistance System(Operation management)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1F14–1_—_1F14–9_. http://dx.doi.org/10.1299/jsmestech.2015._1f14-1_.

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26

D, Prabhu, Maniraj S.P, Shreya Krishna, Ipsita Pal, and Aishwarya Mohanan. "Smart Public Transport and Ticketing System with Real Time Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 1043–51. http://dx.doi.org/10.5373/jardcs/v11/20192670.

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27

A N, Dr K. Venkata Rao Sanjana, Shraddha M K, Shreya G. Attimarad, and Shwetha K. "Real Time Assistive Communicative System for Deaf, Dumb and Blind." International Journal of Research Publication and Reviews 4, no. 5 (May 4, 2023): 1607–12. http://dx.doi.org/10.55248/gengpi.234.5.40150.

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28

Ma, Yifan, Batu Qi, Wenhua Xu, Mingjie Wang, Bowen Du, and Hongfei Fan. "Integrating Real-Time and Non-Real-Time Collaborative Programming." Proceedings of the ACM on Human-Computer Interaction 7, GROUP (December 29, 2022): 1–19. http://dx.doi.org/10.1145/3567563.

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Real-time collaborative programming enables a group of programmers to edit shared source code at the same time, which significantly complements the traditional non-real-time collaborative programming supported by version control systems. However, one critical issue with this emerging technique is the lack of integration with non-real-time collaboration. Specifically, contributions from multiple programmers in a real-time collaboration session cannot be distinguished and accurately recorded in the version control system. In this study, we propose a scheme that integrates real-time and non-real-time collaborative programming with a novel workflow, and contribute enabling techniques to realize such integration. As a proof-of-concept, we have successfully implemented two prototype systems named CoEclipse and CoIDEA, which allow programmers to closely collaborate in a real-time fashion while preserving the work's compatibility with traditional non-real-time collaboration. User evaluation and performance experiments have confirmed the feasibility of the approach and techniques, demonstrated the good system performance, and presented the satisfactory usability of the prototypes.

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29

Augusto Oliveira da Silva, Sérgio, Danilo Henrique Wollz, and Leonardo Poltronieri Sampaio. "Development Of A Didactic Workbench Using Real-time Monitoring System For Teaching Of Photovoltaic Systems." Eletrônica de Potência 23, no. 3 (July 1, 2018): 1–11. http://dx.doi.org/10.18618/rep.2018.3.2793.

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30

Zhu, Xudong, Kin Fun Li, and Huiyou Chang. "Optimizing path real-time logic for unified real-time system." Soft Computing 21, no. 12 (May 11, 2016): 3135–45. http://dx.doi.org/10.1007/s00500-016-2178-y.

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31

Vaidya, Sonali, and Kamal Shah. "Real Time Video Surveillance System." International Journal of Computer Applications 86, no. 14 (January 16, 2014): 22–27. http://dx.doi.org/10.5120/15054-3419.

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32

Kadam, Nilesh. "Autonomous Real Time Surveillance System." IOSR Journal of Engineering 03, no. 03 (March 2013): 22–25. http://dx.doi.org/10.9790/3021-03332225.

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33

Guzhov, Vladimir, Sergei Ilinykh, Dmitrii Huidukov, and Evgenii Kabak. "Digital holographic real-time system." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 4 (December 10, 2014): 97–112. http://dx.doi.org/10.17212/2307-6879-2014-4-97-112.

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34

V, Parinitha, Jahnavi Reddy, Navya LS, and Ratna V. Mulimani. "REAL TIME TRAFFIC MANAGEMENT SYSTEM." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (August 12, 2022): 261–66. http://dx.doi.org/10.26562/ijirae.2022.v0908.21.

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Every day, there are more cars on the road, and conventional traffic control techniques can't keep up with the volume of traffic. The traditional method only succeeds in the current environment if the number of vehicles is low; if the number of vehicles increases and becomes disproportionately heavier on one side of the road, the method fails. Our objective is to transition the static traffic signal system into a signal switching system that can manage and monitor signals in real-time. As a result, in this research, the signal switching time will be precisely determined in congested traffic utilizing real-time image detection. This approach may be able to relieve backed-up traffic in a quicker and more effective way.

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35

Patil, Abhay, and Aniket Kale. "Real Time ECG Monitoring System." IARJSET 4, no. 2 (January 20, 2017): 145–48. http://dx.doi.org/10.17148/iarjset/ncetete.2017.43.

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36

Fakih, Awab. "Real-Time Whiteboard Capture System." IOSR Journal of Electrical and Electronics Engineering 2, no. 1 (2012): 21–25. http://dx.doi.org/10.9790/1676-0212125.

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37

Oswal, Sangeeta, and CV Ritu Ramesh. "Real Time Video Surveillance System." IOSR Journal of Computer Engineering 19, no. 03 (June 2017): 76–79. http://dx.doi.org/10.9790/0661-1903067679.

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38

SAKAMURA, Ken. "ITRON real time operating system." Journal of the Robotics Society of Japan 3, no. 5 (1985): 459–66. http://dx.doi.org/10.7210/jrsj.3.459.

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39

Jain, Vanita, Dharmender Saini, and Akshit Ahluwalia. "Real-time autonomous trading system." Journal of Statistics and Management Systems 22, no. 2 (February 17, 2019): 403–13. http://dx.doi.org/10.1080/09720510.2019.1582881.

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40

Spampinato, Giuseppe, Arcangelo Ranieri Bruna, Salvatore Curti, and Viviana D’Alto. "Real Time Advanced Clustering System." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (May 2017): 321–26. http://dx.doi.org/10.25046/aj020341.

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41

John, Riya, Akhilesh s, Gayathri Geetha Nair, Jeen Raju, and Krishnendhu B. "Real Time Attendance Marking System." Volume 5 - 2020, Issue 8 - August 5, no. 8 (September 5, 2020): 1112–16. http://dx.doi.org/10.38124/ijisrt20aug617.

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Attendance management is an important procedure in an educational institution as well as in business organizations. Most of the available methods are time consuming and manipulative. The traditional method of attendance management is carried out in handwritten registers. Other than the manual method, there exist biometric methods like fingerprint and retinal scan, RFID tags, etc. All of these methods have disadvantages, therefore, in order to avoid these difficulties here, we introduce a new method for attendance management using deep learning technology. Using deep learning we can easily train a data-set. Real-time face algorithms are used and recognized faces of students in real-time while attending lectures. This system aims to be less time- consuming in comparison to the existing system of marking attendance.The program runs on anaconda flask server.Here real time image is captured using mobile phone camera. The faces on the image of the persons are then recognized and attendance is marked on an excel file.

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42

Rafian, M., M. J. H. Sterling, and M. R. Irving. "Real-time power system simulation." IEE Proceedings C Generation, Transmission and Distribution 134, no. 3 (1987): 206. http://dx.doi.org/10.1049/ip-c.1987.0034.

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43

Rigopulos, Alexander P. "Real-time music creation system." Journal of the Acoustical Society of America 103, no. 1 (January 1998): 22. http://dx.doi.org/10.1121/1.423165.

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44

Leung, D., and J. Romagnoli. "Real-time MPC supervisory system." Computers & Chemical Engineering 24, no. 2-7 (July 2000): 285–90. http://dx.doi.org/10.1016/s0098-1354(00)00479-8.

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45

Fernández-Polanco, Diego, Alan Eastwood, and Nicola Knight. "Real-time Utility System Optimization." Energy Engineering 102, no. 3 (May 2005): 63–78. http://dx.doi.org/10.1080/01998590509509431.

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46

Chen, Tung-Liang. "Real-time turbine maintenance system." Expert Systems with Applications 36, no. 4 (May 2009): 8676–81. http://dx.doi.org/10.1016/j.eswa.2008.10.019.

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47

Locke, C. D., R. P. Cook, K. D. Gordon, and H. Tokuda. "Real-Time Operating System Standards." IFAC Proceedings Volumes 24, no. 2 (May 1991): 25–26. http://dx.doi.org/10.1016/s1474-6670(17)51263-x.

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48

Gamble, F. T., L. M. Frye, and D. R. Grieser. "Real-time fingerprint verification system." Applied Optics 31, no. 5 (February 10, 1992): 652. http://dx.doi.org/10.1364/ao.31.000652.

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49

Engelke, Robert M. "Real-time transcription correction system." Journal of the Acoustical Society of America 114, no. 5 (2003): 2544. http://dx.doi.org/10.1121/1.1634110.

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50

Bloss, Richard. "Real‐time pressure mapping system." Sensor Review 31, no. 2 (March 29, 2011): 101–5. http://dx.doi.org/10.1108/02602281111109943.

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