Journal articles: 'REAL TIME EMPLOYING'

1

Wurmsdobler, Peter. "A Sample Control Application Employing Real Time Linux." IFAC Proceedings Volumes 33, no. 17 (July 2000): 1277–82. http://dx.doi.org/10.1016/s1474-6670(17)39590-3.

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Hsiao, P. Y., X. Z. Chen, C. C. Lin, C. H. Hua, and C. C. Chang. "Employing pipelined thinning architecture for real-time fingerprint verifier." IEE Proceedings - Computers and Digital Techniques 153, no. 5 (2006): 348. http://dx.doi.org/10.1049/ip-cdt:20050200.

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Sandsten, Jonas, Petter Weibring, Hans Edner, and Sune Svanberg. "Real-time gas-correlation imaging employing thermal background radiation." Optics Express 6, no. 4 (February 14, 2000): 92. http://dx.doi.org/10.1364/oe.6.000092.

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Smith, Richard E., and Maria Gini. "Reliable real-time robot operation employing intelligent forward recovery." Journal of Robotic Systems 3, no. 3 (June 1986): 281–300. http://dx.doi.org/10.1002/rob.4620030307.

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Lam, F. K., and C. K. Leung. "A Real-Time Network Analyzer Employing Ultrasonic Dispersive Delay Line." International Journal of Electrical Engineering & Education 22, no. 1 (January 1985): 51–62. http://dx.doi.org/10.1177/002072098502200116.

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Banks, Lewis, Martin Birch, Daniel Krueerke, Edward Buckley, Adrian Cable, Nic Lawrence, and Peter Mash. "73.4: Real-time Diffractive Video Projector Employing Ferroelectric LCOS SLM." SID Symposium Digest of Technical Papers 37, no. 1 (2006): 2018. http://dx.doi.org/10.1889/1.2433453.

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Li, Chih-Hung G., Kuei-Wen Chen, Chi-Cheng Lai, and Yu-Tang Hwang. "Real-Time Rain Detection and Wiper Control Employing Embedded Deep Learning." IEEE Transactions on Vehicular Technology 70, no. 4 (April 2021): 3256–66. http://dx.doi.org/10.1109/tvt.2021.3066677.

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Faling Chen, 陈法领, 丁庆海 Qinghai Ding, 罗海波 Haibo Luo, 惠斌 Bin Hui, 常铮 Zheng Chang, and 刘云鹏 Yunpeng Liu. "Anti-occlusion real time target tracking algorithm employing spatio-temporal context." Infrared and Laser Engineering 50, no. 1 (2021): 20200105. http://dx.doi.org/10.3788/irla20200105.

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Faling Chen, 陈法领, 丁庆海 Qinghai Ding, 罗海波 Haibo Luo, 惠斌 Bin Hui, 常铮 Zheng Chang, and 刘云鹏 Yunpeng Liu. "Anti-occlusion real time target tracking algorithm employing spatio-temporal context." Infrared and Laser Engineering 50, no. 1 (2021): 20200105. http://dx.doi.org/10.3788/irla.35_2020-0105.

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Hartz, R., D. Bristow, and N. Mullani. "A Real-Time Tofpet Slice-Backproject Engine Employing Dual Am29116 Microprocessors." IEEE Transactions on Nuclear Science 32, no. 1 (1985): 839–42. http://dx.doi.org/10.1109/tns.1985.4336952.

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Karady, George G., and Jun Gu. "Employing reprogrammable analog VLSI in real-time analysis of transient stability." Electric Power Systems Research 77, no. 8 (June 2007): 980–88. http://dx.doi.org/10.1016/j.epsr.2006.08.024.

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Matsuda, T., and T. Haji. "P254: Neural activity modulation employing real-time fMRI-based neuro-feedback." Clinical Neurophysiology 125 (June 2014): S116. http://dx.doi.org/10.1016/s1388-2457(14)50379-3.

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Jiabin Luo, Jiabin Luo, Yi Tang Yi Tang, Huiping Jia Huiping Jia, Qingwei Zhu Qingwei Zhu, and and Wei Xue唯薛. and Wei Xue唯薛. "750 Mb/s monochromatic LED-based real-time visible light communication system employing a low-complexity cascaded post-equalizer." Chinese Optics Letters 14, no. 12 (2016): 120604–8. http://dx.doi.org/10.3788/col201614.120604.

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Kasukurti, A., C. D. Eggleton, S. A. Desai, and D. W. M. Marr. "FACS-style detection for real-time cell viscoelastic cytometry." RSC Advances 5, no. 128 (2015): 105636–42. http://dx.doi.org/10.1039/c5ra24097b.

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Employing modulated optical forces and enabled by a low-dimensional FACS-style detection method introduced here, we present a viscoelasticity cytometer (VC) capable of real-time and continuous measure of chemically modified RBCs at rate of ∼ 1 s⁻¹.

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Tšukrejev, Pavel, Kaarel Kruuser, Georgy Gorbachev, Kristo Karjust, and Jüri Majak. "Real-Time Monitoring of Solar Modules Manufacturing." International Journal of Engineering Research in Africa 51 (November 2020): 9–13. http://dx.doi.org/10.4028/www.scientific.net/jera.51.9.

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One of the most important steps during manufacturing of solar modules is lamination. This paper focuses on monitoring of behavior of used encapsulant Ethylene/Vinyl-Acetate (EVA) and impact on overall quality of module during lamination. Monitoring is performed by employing external thermocouple sensor inside the lamination chamber as well as by. Real-time analysis of the results helps to predict the quality of final product in terms of ensuring lamination quality in real time and provides possibility to tune the process during manufacturing cycle to achieve the best result of encapsulant cross-linking.

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Conte, Claudia, Giorgio de Alteriis, Rosario Schiano Lo Moriello, Domenico Accardo, and Giancarlo Rufino. "Drone Trajectory Segmentation for Real-Time and Adaptive Time-Of-Flight Prediction." Drones 5, no. 3 (July 16, 2021): 62. http://dx.doi.org/10.3390/drones5030062.

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This paper presents a method developed to predict the flight-time employed by a drone to complete a planned path adopting a machine-learning-based approach. A generic path is cut in properly designed corner-shaped standard sub-paths and the flight-time needed to travel along a standard sub-path is predicted employing a properly trained neural network. The final flight-time over the complete path is computed summing the partial results related to the standard sub-paths. Real drone flight-tests were performed in order to realize an adequate database needed to train the adopted neural network as a classifier, employing the Bayesian regularization backpropagation algorithm as training function. For the network, the relative angle between two sides of a corner and the wind condition are the inputs, while the flight-time over the corner is the output parameter. Then, generic paths were designed and performed to test the method. The total flight-time as resulting from the drone telemetry was compared with the flight-time predicted by the developed method based on machine learning techniques. At the end of the paper, the proposed method was demonstrated as effective in predicting possible collisions among drones flying intersecting paths, as a possible application to support the development of unmanned traffic management procedures.

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Kim, Deok-Hwan, Chi-Young Cho, and Jaehwan Ryu. "Real-Time Locomotion Mode Recognition Employing Correlation Feature Analysis Using EMG Pattern." ETRI Journal 36, no. 1 (February 1, 2014): 99–105. http://dx.doi.org/10.4218/etrij.14.0113.0064.

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Motiur Rahman, A. F. M., Mohamed W. Attwa, Pervez Ahmad, Mohammad Baseeruddin, and Adnan A. Kadi. "Fragmentation Behavior Studies of Chalcones Employing Direct Analysis in Real Time (DART)." Mass Spectrometry Letters 4, no. 2 (June 1, 2013): 30–33. http://dx.doi.org/10.5478/msl.2013.4.2.30.

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Rasool, Ghulam, Kamran Iqbal, Nidhal Bouaynaya, and Gannon White. "Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies." IEEE Transactions on Neural Systems and Rehabilitation Engineering 24, no. 1 (January 2016): 98–108. http://dx.doi.org/10.1109/tnsre.2015.2410176.

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Ng, Siang Ping, and Jacob I. Mackenzie. "Planar Waveguide Laser Optimization and Characterization Employing Real-Time Beam Quality Measurement." IEEE Journal of Quantum Electronics 49, no. 2 (February 2013): 146–53. http://dx.doi.org/10.1109/jqe.2012.2230396.

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Pathan, Md Ilius Hasan, Md Juel Rana, Mohammad Shoaib Shahriar, Md Shafiullah, Md Hasan Zahir, and Amjad Ali. "Real-Time LFO Damping Enhancement in Electric Networks Employing PSO Optimized ANFIS." Inventions 5, no. 4 (December 14, 2020): 61. http://dx.doi.org/10.3390/inventions5040061.

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In recent years, machine learning (ML) tools have gained tremendous momentum and received wide-spread attention in different segments of modern-day life. As part of digital transformation, the power system industry is one of the pioneers in adopting such attractive and efficient tools for various applications. Apparently, a nonthreatening, but slow-burning issue of the electric power systems is the low-frequency oscillations (LFO), which, if not dealt with appropriately and on time, could result in complete network failure. This paper addresses the role of a prominent ML family member, particle swarm optimization (PSO) tuned adaptive neuro-fuzzy inference system (ANFIS) for real-time enhancement of LFO damping in electric power system networks. It adopts and models two power system networks where in the first network, the synchronous machine is equipped with only a power system stabilizer (PSS), and in the other, the PSS of the synchronous machine is coordinated with the unified power flow controller (UPFC), a second-generation flexible alternating current transmission system (FACTS) device. Then, it develops the proposed ML approach to enhance LFO damping for both adopted networks based on the customary practices of statistical judgment. The performance measuring metrics of power system stability, including the minimum damping ratio (MDR), eigenvalue, and time-domain simulation, were used to analyze the developed approach. Moreover, the paper presents a comparative analysis and discussion with the referenced works’ achieved results to conclude the proposed PSO-ANFIS technique’s ability to enhance power system stability in real-time by damping out the unwanted LFO.

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Brown, Andrew, and Toby Gifford. "Prediction and Proactivity in Real-Time Interactive Music Systems." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 9, no. 5 (June 30, 2021): 35–39. http://dx.doi.org/10.1609/aiide.v9i5.12644.

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We advocate for the use of predictive techniques in interactive computer music systems. We suggest that the inclusion of prediction can assist in the design of proactive rather than reactive computational performance partners. We summarize the significant role prediction plays in human musical decisions, and the only modest use of prediction in interactive music systems to date. After describing how we are working toward employing predictive processes in our own metacreation software we reflect on future extensions to these approaches.

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Jiang, Hanchen, Peng Lin, Qixiang Fan, and Maoshan Qiang. "Real-Time Safety Risk Assessment Based on a Real-Time Location System for Hydropower Construction Sites." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/235970.

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The concern for workers’ safety in construction industry is reflected in many studies focusing on static safety risk identification and assessment. However, studies on real-time safety risk assessment aimed at reducing uncertainty and supporting quick response are rare. A method for real-time safety risk assessment (RTSRA) to implement a dynamic evaluation of worker safety states on construction site has been proposed in this paper. The method provides construction managers who are in charge of safety with more abundant information to reduce the uncertainty of the site. A quantitative calculation formula, integrating the influence of static and dynamic hazards and that of safety supervisors, is established to link the safety risk of workers with the locations of on-site assets. By employing the hidden Markov model (HMM), the RTSRA provides a mechanism for processing location data provided by the real-time location system (RTLS) and analyzing the probability distributions of different states in terms of false positives and negatives. Simulation analysis demonstrated the logic of the proposed method and how it works. Application case shows that the proposed RTSRA is both feasible and effective in managing construction project safety concerns.

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Fan, Shicheng, Li Dan, Lingju Meng, Wei Zheng, Anastasia Elias, and Xihua Wang. "Improved response time of flexible microelectromechanical sensors employing eco-friendly nanomaterials." Nanoscale 9, no. 43 (2017): 16915–21. http://dx.doi.org/10.1039/c7nr05218a.

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We present an easy approach to obtain the fast-response nanocomposite materials by adding CNC to PDMS. Such improvement of the response time enables our sensors to detect real-time pulses in the radial artery pressures.

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Barua, Suchi, Yue Rong, Sven Nordholm, and Peng Chen. "Real-Time Adaptive Modulation Schemes for Underwater Acoustic OFDM Communication." Sensors 22, no. 9 (April 30, 2022): 3436. http://dx.doi.org/10.3390/s22093436.

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Adaptive modulation received significant attention for underwater acoustic (UA) communication systems with the aim of increasing the system efficiency. It is challenging to attain a high data rate in UA communication, as UA channels vary fast, along with the environmental factors. For a time-varying UA channel, a self-adaptive system is an attractive option, which can choose the best method according to the channel condition to guarantee the continuous connectivity and high performance constantly. A real-time orthogonal frequency-division multiplexing (OFDM)-based adaptive UA communication system is presented in this paper, employing the National Instruments (NI) LabVIEW software and NI CompactDAQ device. In this paper, the received SNR is considered as a performance metric to select the transmission parameters, which are sent back to the transmitter for data transmission. In this research, a UA OFDM communication system is developed, employing adaptive modulation schemes for a nonstationary UA environment which allows to select subcarriers, modulation size, and allocate power adaptively to enhance the reliability of communication, guarantee continuous connectivity, and boost data rate. The recent UA communication experiments carried out in the Canning River, Western Australia, verify the performance of the proposed adaptive UA OFDM system, and the experimental results confirm the superiority of the proposed adaptive scheme.

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Jiang, Guangli, Leibo Liu, Wenping Zhu, Shouyi Yin, and Shaojun Wei. "A 181 GOPS AKAZE Accelerator Employing Discrete-Time Cellular Neural Networks for Real-Time Feature Extraction." Sensors 15, no. 9 (September 4, 2015): 22509–29. http://dx.doi.org/10.3390/s150922509.

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Spas, Anna, and Renata Zbieć-Piekarska. "Internal Validation of a DNA Quantification Method using the Quantifiler Humand DNA Quantification Kit and the 7500 Real-Time PCR System with the Hid Real-Time PCR Analysis Software V 1.1 at the Biology Department of the Central Forensic Laboratory of the Police." Issues of Forensic Science 284 (2014): 78–85. http://dx.doi.org/10.34836/pk.2014.284.6.

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The aim of the present study was the internal validation of a DNA quantification method employing Ouantifiler® Humań DNA Ouantification Kit from Applied Biosystems, used for the quantification of human total DNA, coupled with the 7500 Real-Time PCR System and the HID Real-Time PCR Analysis Software v1.1, performed at the Biology Department of the Central Forensic Laboratory of the Police. The selection of parameters relevant to the laboratory’s routine casework was madę based on the ENFSI DNA Working Group recommendations included in the document Recommended Minimum Criteria for the Validation of Various Aspects of the DNA Profiling Process. The assessment regarded: sensitivity, linearity, rangę covered by the method and precision, including intralaboratory repeatability and reproducibility. Moreover, an attempt was madę to determine whether continuation of genetic analyses is rational if the 7500 Real-Time system reads are negative, i.e. no nuclear DNA is detected, while the internal positive control (IPC) results are correct. Based on conducted validation expeńments, it was found that the extent to which the validated method met the predetermined acceptance criteria is satisfactory, taking into account the specificity of the tests conducted in our laboratory. However, any negative indications of 7500 Real-Time PCR system, suggesting no presence of nuclear DNA along with correct results obtained for the IPC, should be interpreted very carefully. Apparently, it is not rational to discontinue further analyses of such samples due to the availability of very sensitive new DNA amplification kits which often allow obtaining a fuli DNA profile. To sum up, the validation of the DNA quantification method employing the Ouantifiler® Human DNA Ouantification Kit coupled with the 7500 Real-Time PCR System and the HID Real-Time PCR Analysis Software V1.1 was successful, therefore the method could be implemented and routinely used for the quantification of human total DNA in biological samples subject to forensic analyses conducted at the Biology Department of the Central Forensic Laboratory of the Police.

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IkaWidyasa, Yanita, Sudjadi ., and Abdul Rohman. "Detection of Rat Meat Adulteration in Meat Ball Formulations Employing Real Time PCR." Asian Journal of Animal Sciences 9, no. 6 (October 15, 2015): 460–65. http://dx.doi.org/10.3923/ajas.2015.460.465.

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Yasukawa, Shinsuke, Hirotsugu Okuno, Kazuo Ishii, and Tetsuya Yagi. "Real-time object tracking based on scale-invariant features employing bio-inspired hardware." Neural Networks 81 (September 2016): 29–38. http://dx.doi.org/10.1016/j.neunet.2016.05.002.

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Rio Chanona, E. A. del, J. E. Alves Graciano, E. Bradford, and B. Chachuat. "Modifier-Adaptation Schemes Employing Gaussian Processes and Trust Regions for Real-Time Optimization." IFAC-PapersOnLine 52, no. 1 (2019): 52–57. http://dx.doi.org/10.1016/j.ifacol.2019.06.036.

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Podola, Björn, and Michael Melkonian. "Selective real-time herbicide monitoring by an array chip biosensor employing diverse microalgae." Journal of Applied Phycology 17, no. 3 (May 2005): 261–71. http://dx.doi.org/10.1007/s10811-005-4945-5.

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Yang, Lei, Hui Chen, Jun Ma, Qian Zhu, Tong Yang, and Hongbo Xie. "Photonic Time-Stretch Technology with Prismatic Pulse Dispersion towards Fast Real-Time Measurements." Photonics 6, no. 3 (September 9, 2019): 99. http://dx.doi.org/10.3390/photonics6030099.

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Photonic time-stretch (PTS) technology enables revolutionary technical breakthroughs in ultrafast electronic and optical systems. By means of employing large chromatic dispersion to map the spectrum of an ultrashort optical pulse into a stretched time-domain waveform (namely, using the dispersive Fourier transformation), PTS overcomes the fundamental speed limitations of conventional techniques. The chromatic dispersion utilized in PTS can be implemented using multiple optical prism arrays, which have the particular advantages of low loss in the extended spectrum outside of the specific telecommunication band, flexibility, and cost-effectiveness. In this article, we propose and demonstrate the PTS technology established for a pair of prisms, which works as a data acquisition approach in ultrafast digitizing, imaging, and measurement regimes.

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Minea, Marius, and Iulian Bădescu. "Delay Factors Modelling for Real-Time Traffic Information Systems." WSEAS TRANSACTIONS ON COMMUNICATIONS 20 (December 28, 2021): 192–97. http://dx.doi.org/10.37394/23204.2021.20.25.

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The paper is presenting an overview of the factors that lead to critical delays which may occur in multi-modal realtime traffic and travel information systems (MRTTI) employing cellular data network communications. The analysis is taking into account MRTTI systems that use mobile devices to detect position and speed of a vehicle and receive traffic information furthermore used to adjust a previously defined route from origin to destination points. Information transmission delays are also investigated for route guidance systems used in critical applications, such as emergency vehicles management. The identification of the delay factors and some models regarding the delays are presented along with measurements on a real system.

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Leung, Charles Ka Yui, Kelvin Siu Kei Wong, and Patrick Wai Yin Cheung. "International Real Estate Review." International Real Estate Review 10, no. 2 (December 31, 2007): 66–93. http://dx.doi.org/10.53383/100084.

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Given the dramatic fluctuations in aggregate housing prices, this paper attempts to examine whether the implicit prices of different housing attributes are “stable.” Theoretically, this paper provides perhaps the first dynamic, general equilibrium model in which housing attributes’ implicit prices fluctuate. Empirically, this paper models the time paths of different implicit prices as auto-regressive processes by employing a hedonic pricing model on a large set of housing transaction data over a relatively long period of time. An endogenous structural break test is then performed. Except for a few attributes, structural breaks are not detected. Directions for future research are discussed.

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Li, Zhenyu, Yunong Zhang, Liangjie Ming, Jinjin Guo, and Vasilios N. Katsikis. "Real-domain QR decomposition models employing zeroing neural network and time-discretization formulas for time-varying matrices." Neurocomputing 448 (August 2021): 217–27. http://dx.doi.org/10.1016/j.neucom.2021.03.014.

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McTaggart, John Ellis. "The Unreality of Time." Epistemology & Philosophy of Science 56, no. 2 (2019): 211–28. http://dx.doi.org/10.5840/eps201956239.

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This text is a translation of an article by British idealist J.E. McTaggart “The Unreality of Time” published in the journal Mind in 1908. Author argues for the unreality of time by employing his typical methods – rejection of reality of contradictory objects, difference between real and existent, etc. This paper became a standard of excellence of McTaggart analytical style and is a classic example of British absolute idealism. The translation was made by Andrey A. Veretennikov.

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Nagaoka, Ryo, Takuya Tabata, Ryo Takagi, Shin Yoshizawa, Shin-Ichiro Umemura, and Yoshifumi Saijo. "Development of Real-Time 3-D Photoacoustic Imaging System Employing Spherically Curved Array Transducer." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 64, no. 8 (August 2017): 1223–33. http://dx.doi.org/10.1109/tuffc.2017.2718030.

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Zhao, Pushe, Hongbo Zhu, He Li, and Tadashi Shibata. "A Directional-Edge-Based Real-Time Object Tracking System Employing Multiple Candidate-Location Generation." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 3 (March 2013): 503–17. http://dx.doi.org/10.1109/tcsvt.2012.2210665.

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Hongbo Zhu and Tadashi Shibata. "A Real-Time Motion-Feature-Extraction VLSI Employing Digital-Pixel-Sensor-Based Parallel Architecture." IEEE Transactions on Circuits and Systems for Video Technology 24, no. 10 (October 2014): 1787–99. http://dx.doi.org/10.1109/tcsvt.2014.2313899.

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Gesualdi, Marcos R. R., Mikiya Muramatsu, and Eduardo A. Barbosa. "Light-induced lens analysis in photorefractive crystals employing phase-shifting real-time holographic interferometry." Optics Communications 281, no. 23 (December 2008): 5739–44. http://dx.doi.org/10.1016/j.optcom.2008.09.012.

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Li, Hua, Ziping Li, Wenjian Wan, Kang Zhou, Xiaoyu Liao, Sijia Yang, Chenjie Wang, J. C. Cao, and Heping Zeng. "Toward Compact and Real-Time Terahertz Dual-Comb Spectroscopy Employing a Self-Detection Scheme." ACS Photonics 7, no. 1 (December 17, 2019): 49–56. http://dx.doi.org/10.1021/acsphotonics.9b01427.

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El-Shazly, Ehab H., Moataz M. Abdelwahab, Atsushi Shimada, and Rin-ichiro Taniguchi. "Real time vision/sensor based features processing for efficient HCI employing canonical correlation analysis." Journal of Reliable Intelligent Environments 2, no. 4 (October 18, 2016): 187–95. http://dx.doi.org/10.1007/s40860-016-0028-4.

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LUPŞA-TĂTARU, Lucian. "IMPLEMENTING THE FADE-IN AUDIO EFFECT FOR REAL-TIME COMPUTING." Applied Computer Science 15, no. 2 (June 30, 2019): 5–18. http://dx.doi.org/10.35784/acs-2019-09.

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Audio fading is performed in order to smoothly modify over time the level of an audio signal. In particular, the fade-in audio effect designates a gradually increase in the audio volume, starting from silence. In practice, audio fading is mostly carried out within audio editors i.e. in off-line mode by employing various transcendental functions to enforce the fade profile. Taking into account the increasing demand for interactive media services requiring real-time audio processing, the present approach advances an effective method of constructing the audio fade-in shape with a view to real-time computing. The paper encompasses plain and straightforward implementations in pure JavaScript, prepared precisely to validate the method of audio volume processing proposed here.

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Ge, Chenming. "Algorithm structure for real-time general game playing agents." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 766–71. http://dx.doi.org/10.54254/2755-2721/6/20230913.

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General Game Playing is an examination of AI agents that are designed without any explicit knowledge of a particular game. Instead, they are required to play a variety of games that they have never seen before by merely reading the description of the rules at runtime, without any intervention from a human being. Previous successful agents have concentrated their efforts on turn-based games, employing either generic heuristics or the Monte Carlo/UCT simulation technique. Real-time games have dominated the market in recent years, and as a result, agents that have more reflexibility have emerged as an important area of research. In this paper, the author evaluateswhether or not it is possible to implement the already-existing algorithms into a real-time playing GGP agent, and we present a potential algorithm structure that, on the basis of this evaluation, could be able to solve the challenge.

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Shimonomura, Kazuhiro, Seiji Kameda, Kazuo Ishii, and Tetsuya Yagi. "A Novel Robot Vision Employing a Silicon Retina." Journal of Robotics and Mechatronics 13, no. 6 (December 20, 2001): 614–20. http://dx.doi.org/10.20965/jrm.2001.p0614.

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A Robot vision system was designed using a silicon retina, which has been developed to mimick the parallel circuit structure of the vertebrate retina. The silicon retina used here is an analog CMOS very large-scale integrated circuit, which executes Laplacian-Gaussian like filtering on the image in real time. The processing is robust to change of illumination condition. Analog circuit modules were designed to detect the contour from the output image of the silicon retina and to binarize the output image. The images processed by the silicon retina as well as those by the analog circuit modules are received by the DOS/V-compatible mother-board with NTSC signal, which enables higher level processings using digital image processing techniques. This novel robot vision system can achieve real time and robust processings in natural illumination condition with a compact hardware and a low power consumption.

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Baharudin, Ezral, Asko Rouvinen, Pasi Korkealaakso, Marko K. Matikainen, and Aki Mikkola. "Real-time analysis of mobile machines using sparse matrix technique." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 230, no. 4 (August 3, 2016): 615–25. http://dx.doi.org/10.1177/1464419316635324.

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The use of modern multibody simulation techniques enables the description of complex products, such as mobile machinery, with a high level of detail while still solving the equations of motion in real time. Using the appropriate modelling and implementation techniques, the accuracy of real-time simulation can be improved considerably. Conventionally, in multibody system dynamics, equations of motion are implemented using the full matrices approach that does not consider the sparsity feature of matrices. With this implementation approach, numerical efficiency decreases when sparsity increases. In this study, a numerical procedure based on semi-recursive and augmented Lagrangian methods for real-time dynamic simulation is introduced. To enhance computing efficiency, an equation of motion is implemented by employing the sparse matrix technique.

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Costin, Adrian-Tiberiu, Daniel Zinca, and Virgil Dobrota. "A Real-Time Streaming System for Customized Network Traffic Capture." Sensors 23, no. 14 (July 17, 2023): 6467. http://dx.doi.org/10.3390/s23146467.

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Logging network traffic offers valuable insights into data flow, enabling the proactive analysis and troubleshooting of issues as they arise. Moreover, it provides a means to access and examine the exchanged information among network users that would otherwise be inaccessible. To enhance network traffic analysis, the integration of innovative technologies that facilitate real-time querying and pattern matching proves indispensable. This research paper presents a system that exemplifies such advancements—an innovative network traffic logging tool. The tool specifically focuses on performing real-time network packet transfer to Apache Kafka and ksqlDB, leveraging their capabilities to ensure swift and dependable storage of network packets in Apache Kafka topics. By showcasing this solution, the paper demonstrates the benefits and effectiveness of employing modern technologies for network traffic analysis and management.

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Donu, Jose V., and K. Santhi. "Real Time Classification and Detection of Apple Leaf Diseases at Early Stage by Employing Enhanced Paddy Field Pattern Search Method (EPF-PSM) with 2LC." Indian Journal Of Science And Technology 16, no. 22 (June 7, 2023): 1682–93. http://dx.doi.org/10.17485/ijst/v16i22.1206.

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Gledhill, K. R. "An earthquake detector employing frequency domain techniques." Bulletin of the Seismological Society of America 75, no. 6 (December 1, 1985): 1827–35. http://dx.doi.org/10.1785/bssa0750061827.

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Abstract A single-station real-time earthquake detector has been developed which operates in the frequency domain. Frequency domain operation is possible because the method of calculation of the discrete Fourier transform and the data format have been adapted to suit the architecture of the microprocessor used. A test period of 10 days resulted in a detection reliability of greater than 95 per cent, with a false detection rate of less than 10 per cent (241 earthquakes total sample). The spectral detector outperforms time domain detectors in two respects. It is much more likely to identify the more distant, emergent earthquakes, and those recorded with a low signal-to-noise ratio. The algorithm operates on a Motorola MC6809 microprocessor and uses less than a quarter of the available time at a 50-Hz sampling frequency.

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Chawla, Mohit, Siba Mishra, Kriti Singh, and Chiranjeev Kumar. "A Comparison of Data Exchange Mechanisms for Real-Time Communication." International Journal of Rough Sets and Data Analysis 4, no. 4 (October 2017): 66–81. http://dx.doi.org/10.4018/ijrsda.2017100105.

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While web applications continue to employ traditional client-server model, most of the current applications demand real time bi-directional communication. In such setups, data exchanges between both the parties (client and server) are very frequent. Thus, performance of the network is subject to various factors decided by the choice of data exchange mechanism. This shows that the choice of data exchange mechanism is vital to performance of a web-application employing it. This paper compares various data exchange mechanisms with respect to factors affecting real time web applications. While the absolute values of benchmarking may vary with the systems, the relative difference between them can be used as a reference for selecting a mechanism for an application. Hence, this paper can be used as a reference to choose appropriate data exchange mechanism for the concerned application.

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Journal articles on the topic 'REAL TIME EMPLOYING'

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