Academic literature on the topic 'Data correlation with time stamp'
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Journal articles on the topic "Data correlation with time stamp"
Jensen, Terry, Roy Brown, Gay Riegel, Lalan S. Wilfong, and John Russell Hoverman. "Time stamps used to measure the patient's clinic experience." Journal of Clinical Oncology 34, no. 7_suppl (March 1, 2016): 150. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.150.
Full textFisher-Levine, Merlin, Rebecca Boll, Farzaneh Ziaee, Cédric Bomme, Benjamin Erk, Dimitrios Rompotis, Tatiana Marchenko, Andrei Nomerotski, and Daniel Rolles. "Time-resolved ion imaging at free-electron lasers using TimepixCam." Journal of Synchrotron Radiation 25, no. 2 (February 20, 2018): 336–45. http://dx.doi.org/10.1107/s1600577517018306.
Full textGuo, Canyang, Genggeng Liu, and Chi-Hua Chen. "Air Pollution Concentration Forecast Method Based on the Deep Ensemble Neural Network." Wireless Communications and Mobile Computing 2020 (October 5, 2020): 1–13. http://dx.doi.org/10.1155/2020/8854649.
Full textKhairul Anuar, Noor Hafizah, Mohd Amri Md Yunus, Muhammad Ariff Baharudin, Sallehuddin Ibrahim, Shafishuhaza Sahlan, and Mahdi Faramarzi. "An assessment of stingless beehive climate impact using multivariate recurrent neural networks." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 2030. http://dx.doi.org/10.11591/ijece.v13i2.pp2030-2039.
Full textMeyerson, William U., Sarah K. Fineberg, Ye Kyung Song, Adam Faber, Garrett Ash, Fernanda C. Andrade, Philip Corlett, Mark B. Gerstein, and Rick H. Hoyle. "Estimation of Bedtimes of Reddit Users: Integrated Analysis of Time Stamps and Surveys." JMIR Formative Research 7 (January 17, 2023): e38112. http://dx.doi.org/10.2196/38112.
Full textSheu, Ruey-Kai, Mayuresh Pardeshi, Lun-Chi Chen, and Shyan-Ming Yuan. "STAM-CCF: Suspicious Tracking Across Multiple Camera Based on Correlation Filters." Sensors 19, no. 13 (July 9, 2019): 3016. http://dx.doi.org/10.3390/s19133016.
Full textMcAlister, Merritt. ""Downright Indifference": Examining Unpublished Decisions in the Federal Courts of Appeals." Michigan Law Review, no. 118.4 (2020): 533. http://dx.doi.org/10.36644/mlr.118.4.downright.
Full textDavies, Alyse, Margaret Allman-Farinelli, Katherine Owen, Louise Signal, Cameron Hosking, Leanne Wang, and Adrian Bauman. "Feasibility Study Comparing Physical Activity Classifications from Accelerometers with Wearable Camera Data." International Journal of Environmental Research and Public Health 17, no. 24 (December 13, 2020): 9323. http://dx.doi.org/10.3390/ijerph17249323.
Full textHuang, Huiqun, Xi Yang, and Suining He. "Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event Prediction." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (September 9, 2021): 1–21. http://dx.doi.org/10.1145/3478099.
Full textHakim, Wahyu, Arief Achmad, and Chang-Wook Lee. "Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data." Remote Sensing 12, no. 21 (November 4, 2020): 3627. http://dx.doi.org/10.3390/rs12213627.
Full textDissertations / Theses on the topic "Data correlation with time stamp"
Yang, Hsueh-szu, and Benjamin Kupferschmidt. "Time Stamp Synchronization in Video Systems." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605988.
Full textSynchronized video is crucial for data acquisition and telecommunication applications. For real-time applications, out-of-sync video may cause jitter, choppiness and latency. For data analysis, it is important to synchronize multiple video channels and data that are acquired from PCM, MIL-STD-1553 and other sources. Nowadays, video codecs can be easily obtained to play most types of video. However, a great deal of effort is still required to develop the synchronization methods that are used in a data acquisition system. This paper will describe several methods that TTC has adopted in our system to improve the synchronization of multiple data sources.
Ahsan, Ramoza. "Time Series Data Analytics." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-dissertations/529.
Full textHedlund, Tobias, and Xingya Zhou. "Correlation and Graphical Presentation of Event Data from a Real-Time System." Thesis, Uppsala University, Department of Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-88741.
Full textEvent data from different parts of a system might be found recorded in event logs. Often the individual logs only show a small part of the system, but by correlating different sources into a consistent context it will be possible to gain further information and a wider view. This would facilitate in finding source of errors or certain behaviors within the system.
This thesis will present the correlation possibilities between event data from different layers of the Ericsson Connectivity Packet Platform (CPP). This was done first by developing and using a test base application for the OSE operating system through which the event data can be recorded for the same test cases. The log files containing the event data have been studied and results will be presented regarding format, structure and content. For reading and storing the event data, suggestions of interpreters and data models are also provided. Finally a prototype application will be presented, which will provide the defined interpreters, data models and a graphical user interface to represent the event data and event data correlations. The programming was conducted using Java and the application is implemented as an Eclipse Plug-in. With the help of the application the user will get a better overview and a more intuitive way of working with the event data.
Zhang, Kang M. Eng Massachusetts Institute of Technology. "Learning time series data using cross correlation and its application in bitcoin price prediction." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91884.
Full textCataloged from PDF version of thesis.
In this work, we developed an quantitative trading algorithm for bitcoin that is shown to be profitable. The algorithm establishes a framework that combines parametric variables and non-parametric variables in a logistical regression model, capturing information in both the static states and the evolution of states. The combination improves the performance of the strategy. In addition, we demonstrated that we can discovery curve similarity of time series using cross correlation and L2 distance. The similarity metrics can be efficiently computed using convolution and can help us learn from the past instance using an ensemble voting scheme.
by Kang Zhang.
M. Eng.
Huo, Shiyin. "Detecting Self-Correlation of Nonlinear, Lognormal, Time-Series Data via DBSCAN Clustering Method, Using Stock Price Data as Example." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1321989426.
Full text黎文傑 and Man-kit Lai. "Some results on the statistical analysis of directional data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31211550.
Full textLai, Man-kit. "Some results on the statistical analysis of directional data /." [Hong Kong : University of Hong Kong], 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787950.
Full textZheng, Xueying, and 郑雪莹. "Robust joint mean-covariance model selection and time-varying correlation structure estimation for dependent data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50899703.
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Statistics and Actuarial Science
Doctoral
Doctor of Philosophy
Abou-Galala, Feras Moustafa. "True-time all optical performance monitoring by means of optical correlation." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180549555.
Full textAslan, Sipan. "Comparison Of Missing Value Imputation Methods For Meteorological Time Series Data." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612426/index.pdf.
Full textBooks on the topic "Data correlation with time stamp"
King, Wayne M. Multitaper spectral estimation and time-domain cross-correlation in FMRI data analysis: Actual and simulated data. 1999.
Find full textAlsuwailem, Abdullah M. A low-cost microprocessor-based correlator for high bandwidth data: Polarity correlation is performed from zero-crossing time data logged by DMA controllers at speeds of up to 65KHz for photon correlation laser doppler velocity measurement. Bradford, 1986.
Find full textvan der Wal, Jenneke. A Featural Typology of Bantu Agreement. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198844280.001.0001.
Full textBoothroyd, Andrew T. Principles of Neutron Scattering from Condensed Matter. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862314.001.0001.
Full textŚlusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.
Full textBook chapters on the topic "Data correlation with time stamp"
Székely, Gábor J., and Maria L. Rizzo. "Time Series and Distance Correlation." In The Energy of Data and Distance Correlation, 365–74. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429157158-21.
Full textShumway, Robert H., and David S. Stoffer. "Correlation and Stationary Time Series." In Time Series: A Data Analysis Approach Using R, 17–35. Boca Raton : CRC Press, Taylor & Francis Group, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429273285-2.
Full textZhang, Pusheng. "Correlation Queries in Spatial Time Series Data." In Encyclopedia of GIS, 1–4. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_221-2.
Full textZhang, Pusheng. "Correlation Queries in Spatial Time Series Data." In Encyclopedia of GIS, 368–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_221.
Full textZhang, Pusheng. "Correlation Queries in Spatial Time Series Data." In Encyclopedia of GIS, 176–79. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_221.
Full textAmagata, Daichi, and Takahiro Hara. "Correlation Set Discovery on Time-Series Data." In Lecture Notes in Computer Science, 275–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27618-8_21.
Full textLiu, Qian, Jinyan Li, Limsoon Wong, and Kotagiri Ramamohanarao. "Efficient Mining of Pan-Correlation Patterns from Time Course Data." In Advanced Data Mining and Applications, 234–49. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_16.
Full textRong, Chuitian, Lili Chen, Chunbin Lin, and Chao Yuan. "Parallel Variable-Length Motif Discovery in Time Series Using Subsequences Correlation." In Web and Big Data, 164–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60290-1_13.
Full textYohapriyaa, M., and M. Uma. "Multi-variant Classification of Depression Severity Using Social Media Networks Based on Time Stamp." In Intelligent Data Communication Technologies and Internet of Things, 553–64. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7610-9_41.
Full textWei, Wenjing, Xiaoyi Jia, Yang Liu, and Xiaohui Yu. "Travel Time Forecasting with Combination of Spatial-Temporal and Time Shifting Correlation in CNN-LSTM Neural Network." In Web and Big Data, 297–311. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96890-2_25.
Full textConference papers on the topic "Data correlation with time stamp"
Peneti, Subhashini, and B. Padmaja Rani. "Data leakage prevention system with time stamp." In 2016 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2016. http://dx.doi.org/10.1109/icices.2016.7518934.
Full textKimachi, Akira, and Shigeru Ando. "Real-time range imaging by phase-stamp method using correlation image sensor." In Electronic Imaging 2007, edited by J. Angelo Beraldin, Fabio Remondino, and Mark R. Shortis. SPIE, 2007. http://dx.doi.org/10.1117/12.696311.
Full textWasko, Wojciech, Dotan David Levi, Teferet Geula, and Amit Mandelbaum. "Artificial Accurate Time-stamp in Network Adapters." In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2021. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00218.
Full textKoponen, Pekka, Antti Hilden, and Pertti Pakonen. "Measurement Data Based Time Stamp Synchronization in Power Quality Data Post Processing." In 2021 IEEE Madrid PowerTech. IEEE, 2021. http://dx.doi.org/10.1109/powertech46648.2021.9494909.
Full textKurihara, Toru, Maoto Iwata, and Shigeru Ando. "Phase-Stamp Particle-Trajectory Velocimetry Using Correlation Image Sensor." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37216.
Full textLiu, Jingning, Tianming Yang, Zuoheng Li, and Ke Zhou. "TSPSCDP: A Time-Stamp Continuous Data Protection Approach Based on Pipeline Strategy." In 2008 Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST). IEEE, 2008. http://dx.doi.org/10.1109/fcst.2008.27.
Full textAnnaiyappa, Pradeep, John Macpherson, and Eric Cayeux. "Best Practices to Improve Accurate Time Stamping of Data at the Well Site." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208732-ms.
Full textAhsan, Ramoza, Rodica Neamtu, Muzammil Bashir, Elke A. Rundensteiner, and Gabor Sarkozy. "Correlation-Based Analytics of Time Series Data." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378155.
Full textPapadimitriou, Spiros, Jimeng Sun, and Philip Yu. "Local Correlation Tracking in Time Series." In Sixth International Conference on Data Mining (ICDM'06). IEEE, 2006. http://dx.doi.org/10.1109/icdm.2006.99.
Full textMueen, Abdullah, Hossein Hamooni, and Trilce Estrada. "Time Series Join on Subsequence Correlation." In 2014 IEEE International Conference on Data Mining (ICDM). IEEE, 2014. http://dx.doi.org/10.1109/icdm.2014.52.
Full textReports on the topic "Data correlation with time stamp"
Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.1946.
Full textUpadhyaya, Shrini K., Abraham Shaviv, Abraham Katzir, Itzhak Shmulevich, and David S. Slaughter. Development of A Real-Time, In-Situ Nitrate Sensor. United States Department of Agriculture, March 2002. http://dx.doi.org/10.32747/2002.7586537.bard.
Full textFalfushynska, Halina I., Bogdan B. Buyak, Hryhorii V. Tereshchuk, Grygoriy M. Torbin, and Mykhailo M. Kasianchuk. Strengthening of e-learning at the leading Ukrainian pedagogical universities in the time of COVID-19 pandemic. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4442.
Full textKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2885.
Full textKing, E. L., A. Normandeau, T. Carson, P. Fraser, C. Staniforth, A. Limoges, B. MacDonald, F. J. Murrillo-Perez, and N. Van Nieuwenhove. Pockmarks, a paleo fluid efflux event, glacial meltwater channels, sponge colonies, and trawling impacts in Emerald Basin, Scotian Shelf: autonomous underwater vehicle surveys, William Kennedy 2022011 cruise report. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331174.
Full textKnight, R. D., and H. A. J. Russell. Quantifying the invisible: pXRF analyses of three boreholes, British Columbia and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331176.
Full textBrown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, December 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.
Full textSamach, Alon, Douglas Cook, and Jaime Kigel. Molecular mechanisms of plant reproductive adaptation to aridity gradients. United States Department of Agriculture, January 2008. http://dx.doi.org/10.32747/2008.7696513.bard.
Full textGalili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.
Full textSplitter, Gary, and Menachem Banai. Microarray Analysis of Brucella melitensis Pathogenesis. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7709884.bard.
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