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Journal articles on the topic 'Telemetry Data Processing and Display'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Suhermanto. "PENGUJIAN MODUL PENGOLAH DATA TELEMETRI LAPAN-A3/IPB UNTUK MENGHASILKAN PRODUK LEVEL-0 (THE TESTOF LAPAN-A3/IPB TELEMETRY DATA PROCESSOR MODULE TO PRODUCE LEVEL-0 PRODUCT)." Jurnal Teknologi Dirgantara 14, no. 2 (2017): 125. http://dx.doi.org/10.30536/j.jtd.2016.v14.a2510.

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Telemetry data processing modulis a software for converting the LAPAN-A3/IPB telemetry data into raw sensor data (level-0 product). Telemetry data output from the High Data Rate Modulator-demodulator (HDRM) becomes an input for telemetry data processor, which has entered its setup parameter. The objective of the research is to test LAPAN-A3/IPB telemetry data processor implementation. The development and processing of telemetry data have been performed on a desktop computer that are divided into two stages, data decoding and data decomposition.The performance of the software has been tested using eight samples of raw-data, consisted of multi-spectral and camera matrix data obtained before and after the launch of the satellite. The test results showed, there were no missing telemetry data frames and damaged codeword in the process of decoding.Data on missing multi-spectral lines and data on camera matrix frame lost in the process of decomposition were not found. It was concluded that the overall performance of the test result was that the system used was not able todecode, decompose, display quick-look LISA, or extractcamera matrix data in real-time.To perform as required, the computer performance needed to be increased up to 8 times. From this process, approximately 92% of CPU time were used for decoding and only about 8% were for the decomposition, extraction of data LISA, or extraction of data camera matrix.Improvement attempt by changing the word-size of 32bit processors into 64bit, did not give significant results and was only able to improve the processing speed of 8.1%. Abstrak:Modul pengolah data telemetri adalah softwareuntuk mengubah data telemetri LAPAN-A3/IPB menjadi data sensor yang masih mentah (produk level-0). Data telemetri keluaran dari perangkatHigh Data Rate Modulator-Demodulator (HDRM)menjadi masukan bagi pengolah data telemetri, yang parameter set-upnyatelah dimasukkan. Tujuan penelitian ini adalah untuk menguji implementasi pengolahan data telemetri satelit LAPAN-A3/IPB. Pembangunan dan pengolahan data telemetri telah dilakukan di komputer desktop yang dibagi dalam dua tahap, yaitu pendekodean data dan dekomposisi data. Unjuk kerja software telah diuji menggunakan delapan sampel raw-data, terdiri atas data multi-spektral dan matrik kamera yang diperoleh sebelum dan sesudah peluncuran satelit. Hasil uji memperlihatkan, tidak ditemukan frame data telemetri yang hilang dan codeword yang rusakpada proses pendekodean data. Juga tidak ditemukan data pada larikmulti-spektralyang hilang maupun data pada matrik kamera yang hilang pada proses dekomposisi. Dari uji kinerja secara keseluruhan didapat hasil bahwa sistem yang digunakan tidak mampu melakukan dekoda, dekomposisi, menampilkan quick-lookLISA,atau ekstraksi data matrik kamera secara real-time.Perlupeningkatan kinerja komputer hingga 8 kali lebih baik.Dari proses tersebut, sekitar 92% CPU time dipakai untuk pendekodean data dan hanya sekitar 8% untuk dekomposisi, ekstraksi data LISA,atau ektraksi data matrik kamera. Upaya perbaikan yang dilakukan dengan mengubah word-size prosesor dari 32bit menjadi 64bit hasilnya tidak signifikan dan hanya mampu memperbaiki kecepatan proses 8,1%.
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2

Fadlie Sabri, Sharizal, Nor'Asnilawati Salleh, and Elena Woo Lai Leng. "Designing and Developing a Ground Operation Software for Picosatellite Operation and Data Processing." Applied Mechanics and Materials 225 (November 2012): 475–80. http://dx.doi.org/10.4028/www.scientific.net/amm.225.475.

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Ground operation software (GOS) plays an important role in satellite operations. The software need to be able to retrieve, decode, display and archive the telemetry data as well as send command to control the satellite. These are mandatory functions which will allow satellite operators to communicate and command the satellite in ensuring its mission is executed as designed. Researchers in Agensi Angkasa Negara (ANGKASA) are currently developing a picosatellite as a research project using various Commercial Off-The-Shelf (COTS) components. Even the software algorithm and coding are being developed from scratch. Compared to bigger sized satellites, the picosatellite has a much simpler architecture, modules and mission, thus the required functions on GOS are greatly reduced. The communication protocol used is unique yet simple, which means the GOS will not require any additional modules to understand and interpret either the telemetry data or payload data received as it is already in an easy-to-understand format. GOS was developed using .Net platform with several modules for easy maintenance and expansion of the system. Closed-loop simulation was applied to test the functionalities of GOS as well as for debugging purposes. Results of the simulation are presented at the end of the paper. In conclusion, the GOS may require a few upgrades due to a change of hardware. However, it will still remain as the main reference for future development of GOS.
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Anggara Trisna Nugraha and Dadang Priyambodo. "Development of Rocket Telemetry in Chamber Gas Pressure Monitoring with the MPXV7002DP Gas Pressure Sensor." Journal of Electronics, Electromedical Engineering, and Medical Informatics 2, no. 3 (2020): 103–7. http://dx.doi.org/10.35882/jeeemi.v2i3.3.

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Telemetry is a process used to measure or record a physical quantity at a location far from the center of processing the measurement results. Telemetry systems on unmanned aerial vehicles can provide information such as position, altitude, direction, and status of the vehicle itself in real time when the air vehicle is operated. A rocket is a flying vehicle that moves by getting a boost through the combustion reaction that occurs in the rocket. Implementation of the strain gauge sensor through the MPXV7002DP gas pressure sensor, the amount of gas pressure is obtained at the time of combustion of the rocket and sent via wi-fi telemetry Pixhawk 447 MHz, the data on a laptop can be shown the gas pressure generated in the rocket chamber through the display of the Borland Delphi program with a distance of 150 m.
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4

Dang, Chi Van, Khoat Duc Nguyen, Hieu Dao, and Luc The Nguyen. "Apply Matlab in Thingspeak Server to build the system measure and analyze data using IoT Gateway technology." Journal of Mining and Earth Sciences 61, no. 5 (2020): 88–95. http://dx.doi.org/10.46326/jmes.2020.61(5).10.

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ThingSpeak is an open Internet of Things (IoT) platform with MATLAB® analytics that enables the collection and storage of sensor data in the cloud and development of IoT applications. The ThingSpeak IoT platform provides applications that allow data analysis and visualization in MATLAB. With MATLAB® analysis in ThingSpeak, MATLAB code can be executed to perform preprocessing, visualization, filtering, data analysis, and for object modeling applications. This paper presents researches on Matlab application in Thingspeak Server to build data measurement and analysis system using IoT LoRa Gateway technology. The research contents include suggestions on device configuration for the system, programming the Arduino board and LoRa Shield to collect measurement data from sensor nodes and communicate by LoRa waves to the LoRa Gateway. The LoRa Gateway will send data to Web Server based on Thingspeak's Cloud Service platform using MQTT (Message Queing Telemetry Transport). Thingspeak's Matlab interface will display online and store values from the sensor nodes. The system is integrated and tested on temperature and humidity monitoring model, evaluated for the results with the required accuracy. The research results allow the deployment of IoT Gateway system in practice for online measurement, analysis and data processing applications that require the use of algorithms and code generation in Matlab using Web Server.
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Moreno, Carlos, Raúl Aquino, José Ibarreche, et al. "RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications." Sensors 19, no. 1 (2019): 127. http://dx.doi.org/10.3390/s19010127.

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Flooding is one of the most frequent and costly natural disasters affecting mankind. However, implementing Internet of Things (IoT) technology to monitor river behavior may help mitigate or prevent future disasters. This article outlines the hardware development of an IoT system (RiverCore) and defines an application scenario in a specific hydrological region of the state of Colima (Mexico), highlighting the characteristics of data acquisition and data processing used. Both fixed position and moving drifter node systems are described along with web-based data acquisition platform developments integrated with IoT techniques to retrieve data through 3G cellular networks. The developed architecture uses the Message Queuing Telemetry Transport (MQTT) protocol, along with encryption and security mechanisms, to send real-time data packages from fixed nodes to a server that stores retrieved data in a non-relational database. From this, data can be accessed and displayed through different customizable queries and graphical representations, allowing future use in flood analysis and prediction systems. All of these features are presented along with graphical evidence of the deployment of the different devices and of several cellular communication and on-site data acquisition tests.
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He, Chun Hui, Shi Bin Su, and Kai Da Huang. "An Improved Method on Telemetry Data Processing." Applied Mechanics and Materials 610 (August 2014): 454–56. http://dx.doi.org/10.4028/www.scientific.net/amm.610.454.

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In reference to telemetry data processing, an improved method is presented, which makes use of telemetry data that the conventional method abandons. Qualitative analysis is made to show the advantage of the improved method. Simulation results indicate that the improved method can obtain 1~3dB gain, better than the conventional method.
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7

Varaprasad, R. "Telemetry Data Processing Methodology: An ASLV Experience." Defence Science Journal 48, no. 2 (1998): 141–47. http://dx.doi.org/10.14429/dsj.48.3892.

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8

Wu, Xing Cun, Gang Fu, and Ren Long Li. "Design and Implementation of Telemetry Data Post-Processing System." Advanced Materials Research 989-994 (July 2014): 4165–68. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4165.

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This paper presents a post-hoc analysis of telemetry data processing systems, introduces the design ideas and composition structure of the system, discussed in detail the design and implementation of key technologies demodulation processing module and the module frame involved. System to achieve a recording deal with post hoc analysis of telemetry data, to solve the current telemetry signal reception playback devices, high maintenance costs, has some economic benefits.
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Wang, Guohua, Qiang Li, Jinglin Sun, and Xiaofeng Meng. "Telemetry data processing flow model: a case study." Aircraft Engineering and Aerospace Technology 87, no. 1 (2015): 52–58. http://dx.doi.org/10.1108/aeat-11-2012-0221.

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10

Barry, Matthew R., Kevin L. Scott, and Steven P. Weismuller. "A distributed computing model for telemetry data processing." Robotics and Computer-Integrated Manufacturing 11, no. 2 (1994): 99–104. http://dx.doi.org/10.1016/0736-5845(94)90014-0.

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11

Zhang, Zhi Guo, and Lei Gong. "Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing." Advanced Materials Research 846-847 (November 2013): 1176–79. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1176.

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Telemetry data frame structure is complicated and changeable, so telemetry pre-processing software cannot be universal. To solve this problem, a component method was proposed in this paper, which can effectively compensate for the deficiencies of the traditional method. XML files were employed to configure telemetry parameters, including the information of appropriate processing method for data processing. Based-on memory-mapped telemetry source data extraction can greatly improve source extraction speed, and data integrity is guaranteed by sub-frame data fusion. Subsequent telemetry software developing shows that the method can improve the reusability of pre-processing module and shorten the system development time.
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Fayemi, Olalekan, Qingyun Di, Qihui Zhen, and Yu L. Wang. "Adaptive Processing for EM Telemetry Signal Recovery: Field Data from Sichuan Province." Energies 13, no. 22 (2020): 5873. http://dx.doi.org/10.3390/en13225873.

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This paper deals with the study of multi-channel adaptive noise cancellation with a focus on its application in electromagnetic (EM) telemetry. We presented new variable step-size least mean square (LMS) techniques: regularized variable step-size LMS and regularized sigmoid variable size LMS, for electromagnetic telemetry data processing. Considering the complexity and spatial distribution of environmental noise, algorithms with multiple reference signals were used to retrieve transmitted EM signals. The feasibility of the regularized variable step size LMS algorithms with numerical simulation was analyzed and presented. The adaptive processing techniques were applied in the recovery of frequency and binary phase shift key modulated signal. The proposed multi-channel adaptive technique achieves fast convergence speed, low mean squared error and is shown to have good convergence characteristics compared to conventional methods. In addition to attaining good results from the multi-channel adaptive filter and performing the signal analysis in real-time, we implemented combined fast effective impulse noise removal techniques. The combination of median and mean filters was effective in removing a wide range of impulsive noises without distorting any other data points. Further, electromagnetic telemetry data were acquired during a drilling operation in Sichuan province, China, for real field application. Data processing workflow was designed for EM telemetry data processing based on the noise characteristics, simulation results and expected result for demodulation. To establish a comprehensive overview, a performance comparison of the acquisition array system is also provided. Conclusively, the introduced multichannel adaptive noise canceling techniques are very effective in recovering transmitted EM telemetry signals.
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Shipman, R. F., S. F. Beaulieu, D. Teyssier, et al. "Data processing pipeline for Herschel HIFI." Astronomy & Astrophysics 608 (December 2017): A49. http://dx.doi.org/10.1051/0004-6361/201731385.

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Context. The HIFI instrument on the Herschel Space Observatory performed over 9100 astronomical observations, almost 900 of which were calibration observations in the course of the nearly four-year Herschel mission. The data from each observation had to be converted from raw telemetry into calibrated products and were included in the Herschel Science Archive. Aims. The HIFI pipeline was designed to provide robust conversion from raw telemetry into calibrated data throughout all phases of the HIFI missions. Pre-launch laboratory testing was supported as were routine mission operations. Methods. A modular software design allowed components to be easily added, removed, amended and/or extended as the understanding of the HIFI data developed during and after mission operations. Results. The HIFI pipeline processed data from all HIFI observing modes within the Herschel automated processing environment as well as within an interactive environment. The same software can be used by the general astronomical community to reprocess any standard HIFI observation. The pipeline also recorded the consistency of processing results and provided automated quality reports. Many pipeline modules were in use since the HIFI pre-launch instrument level testing. Conclusions. Processing in steps facilitated data analysis to discover and address instrument artefacts and uncertainties. The availability of the same pipeline components from pre-launch throughout the mission made for well-understood, tested, and stable processing. A smooth transition from one phase to the next significantly enhanced processing reliability and robustness.
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Zhang, Ke, Haixu Jiang, and Jingyu Wang. "A Sliding Window Optimal Tracking Differentiator Filtering Method for Satellite Telemetry Data." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 3 (2020): 515–22. http://dx.doi.org/10.1051/jnwpu/20203830515.

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The initial satellite telemetry data acquired by ground stations usually contain noise and outlier interference. In order to ensure the accurate analysis of satellite status, the telemetry data need to be filtered. In this paper, a sliding window optimal tracking differentiator filtering (SWOTDF) method for satellite telemetry data is proposed. Aiming at the problem of parameter selection during the filtering of the optimal tracking differentiator, the amplitude-frequency characteristics of the maximum tracking differentiator are analyzed by sine sweep frequency method, and the mapping relationship between tracking factors and filtering effects is established. On this basis, the telemetry data are divided by sliding windows, and the relationship between local stability of data in each window and tracking factors is further analyzed. The calculation method of local data tracking factor is given to realize dynamic optimal tracking differentiator filtering of telemetry data in each window. Experimental results show that the SWOTDF method can effectively avoid the limitations of traditional digital filters in processing nonlinear telemetry data, and can effectively filter out noise and outliers in satellite telemetry data.
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Pticin, S. O., D. O. Zaytcev, D. A. Pavlov, and V. V. Shmelev. "Model of process of processing rapid telemetrated parameters in real tim." Issues of radio electronics, no. 10 (December 16, 2020): 31–37. http://dx.doi.org/10.21778/2218-5453-2020-10-31-37.

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The paper considers the generalized problem of processing telemetry data. The solution of this problem in real time is due to the requirement of the operational stage of processing telemetry information in the form of a report on the flight of rocket and space technology. At the operational stage, 10% of the total number of telemetry parameters is processed. The consequence is that the results obtained are insufficient for an operational and reliable analysis of the technical condition of on-Board systems of rocket and space technology. To eliminate the insufficiency, it is necessary to increase the completeness of the results of processing telemetry information. A conceptual formulation of the problem of processing rapidly changing telemetry parameters is formulated, taking into account the requirement to include rapidly changing parameters in the processing of telemetry information at the operational stage. A model of the processing rapidly changing parameters in real time is constructed, which is based on the method of discrete linear mathematical programming. Restrictions on processing time, processing nodes, and completeness of the processing result are defined. Taking into account the constraints, the Pareto optimal set of acceptable solutions is determined. A narrowing of the set of acceptable solutions based on the use of nonlinear partial quality indicators is described. Conclusions are made about the expected results of the decision, as well as about the course of further research.
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Cui, Zhen, Ye Ji, Bin Chen, and Yang Yang. "A Fast Estimation Method for Satellite in Orbit Management." MATEC Web of Conferences 316 (2020): 04007. http://dx.doi.org/10.1051/matecconf/202031604007.

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The management of satellites in orbit requires accurate and rapid processing to minimize the impact of failures. Especially for fault handling involving energy security, the real-time nature of the process plays a decisive role. This paper proposes a fast estimation method based on satellite telemetry data. Through the analysis of the shape of the telemetry curve, the geometric method, the correlation analysis of the telemetry data on the satellite, or the physical principles, the required parameters are quickly obtained to facilitate rapid emergency processing. This method is applied to satellite in-orbit management, which can greatly improve the real-time performance of fault processing, and has good engineering practical value.
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Giacalone, V. M., G. Garofalo, G. D'Anna, F. Badalamenti, and C. Pipitone. "Fi.S.A.R.: A Data-managing and Processing Software for Automated Telemetry Systems." Marine Technology Society Journal 40, no. 1 (2006): 47–50. http://dx.doi.org/10.4031/002533206787353592.

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Ultrasonic telemetry systems are increasingly used in studies on the behavioral ecology of marine and freshwater animals. Systems based on automated omnidirectional receivers in particular offer a powerful and relatively cheap tool to provide presence/absence data of tagged animals, but they do not provide the geographic position of the transmitters. In this paper a new software called FiSAR (Fish-finder Software for Automated Receivers), developed for application with Vemco VR1/VR2 receivers, is presented (available at www.marecofree.org/download.asp). FiSAR is able to manage large datasets as well as to calculate the activity center of each transmitter from simple presence/absence data. This is achieved through (1) the collation of the data collected by each receiver in a unique MS Access cross-table, and (2) the use of the Simpfendorfer et al. (2002) algorithm. The resulting cross-table can be easily exported to most statistical packages for further analysis.
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18

Vilkov, J. V., I. A. Maksimov, M. V. Nekrasov, R. J. Tsarev, T. N. Yamskikh, and V. V. Kovalev. "The automated system of telemetry data multiline reception, processing and analyzing." IOP Conference Series: Materials Science and Engineering 450 (December 4, 2018): 022032. http://dx.doi.org/10.1088/1757-899x/450/2/022032.

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Hacker, Johannes M., Jiongyu Ying, and Peter C. Lai. "Reaction Wheel Friction Telemetry Data Processing Methodology and On-Orbit Experience." Journal of the Astronautical Sciences 62, no. 3 (2015): 254–69. http://dx.doi.org/10.1007/s40295-015-0076-7.

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20

Baibekova, F. N., V. V. Podoltsev, N. M. Bespalova, and L. A. Sologubova. "Overview of the ways to reduce telemetric information redundancy." Radio industry (Russia) 29, no. 2 (2019): 8–16. http://dx.doi.org/10.21778/2413-9599-2019-29-2-8-16.

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The redundancy of telemetric information significantly complicates the real-time processing of the information flows. To speed up the telemetry processing process, the methods for telemetric information redundancy reduction should be applied in order to reduce its flows entering the monitoring systems while maintaining a high speed of processing and reliability of the information. The article provides an overview of the methods for reduction of telemetric information redundancy, such as the increase in PHY-rate of telemetry channel, the Huffman algorithm, the batch mechanism for generation and transmission of telemetry information, the adaptive difference algorithm, the algorithm for transmission of the information based on its representation by residual images, Golomb-Rice codes, reversible compression method. The advantages and disadvantages of each of them are considered. Recommendations on the use of multi-level telemetry information compression system are given, which makes it possible to effectively combine target data compression algorithms that give the highest compression ratio depending on the type of telemetry information transmitted.
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Alley, G. T., and M. L. Bauer. "Data processing and display algorithms for portable instruments." IEEE Transactions on Nuclear Science 35, no. 1 (1988): 559–61. http://dx.doi.org/10.1109/23.12785.

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22

Kyberd, P. J., S. Te Winkel, and A. Poulton. "A wireless telemetry system for training users of upper limb prostheses." Prosthetics and Orthotics International 26, no. 1 (2002): 78–81. http://dx.doi.org/10.1080/03093640208726626.

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Telemetry from prosthetic systems is useful in aiding the users and clinical team in setting up and training and monitoring in the use of a prosthesis. The different forms are discussed and a new radio frequency based telemetry system is described. This system uses a computer to display the data and a video mixer to place the information on the same screen as the image of the user so that their actions and control signals can be simultaneously recorded for later study.
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Khriji, L., F. Touati, and N. Hamza. "ZigBee-Based Telemetry System." Journal of Engineering Research [TJER] 7, no. 2 (2010): 32. http://dx.doi.org/10.24200/tjer.vol7iss2pp32-39.

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Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare.
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Meng, Tian Xing. "Design of Fiber Optic Digital Telemetry System." Applied Mechanics and Materials 29-32 (August 2010): 2479–83. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2479.

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The system uses the MCU to complete the functions such as regularly collecting, computing, error handling, storage, data transmission control, and so on, for the parameters required measurement. The system consists of four components: sensor and modulation circuit part, A/D transformation and send part, optical fiber coupling part and the receiver display part. The system has the following characteristics: The encoder is used to encode and send the digital signal of the measured parameters. Through the optical fiber coupling, this system displays the corresponding measurement parameters after decoding by the decoder. System circuit design is simple, easy debugging, reliable of information transmission, high precision of data transmission, particularly good anti-interference, no need of great sending power. It can be applied to a strong electric field or strong magnetic interference occasions at a distance from tens of meters to hundreds of meters.
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Sofyan, Wahyudi, Muhammad Niswar, and Andani Achmad. "Design of Water Quality Monitoring System for Crab Larvae using IOT." EPI International Journal of Engineering 3, no. 1 (2020): 46–49. http://dx.doi.org/10.25042/epi-ije.022020.07.

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Abstract Water quality is one of the determining factors in maintaining survival and growth of crab larvae, therefore we need a tool that can monitor water quality which includes temperature parameters, pH and salinity in real time and online in crab larva culture. This system consists of several sensor nodes with the main component being Arduino Uno which is connected by several sensor nodes as a publisher and Raspberry Pi 3 (RPi3) board as a broker. Data from each sensor node will be sent to brokers with different topics - and stored to a database using a wireless network. The application system used with the MQTT (Message Queue Telemetry Transport) protocol uses a red node. Red node will display data of each sensor node in the form of gauge and graph. In this study a water quality monitoring system was designed and developed. This tool uses the MQTT (Message Queue Telemetry Transport) protocol to display sensor node data in real time.
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Tanaka, Kazurou. "Method of processing data for musical score display system." Journal of the Acoustical Society of America 78, no. 4 (1985): 1453. http://dx.doi.org/10.1121/1.392809.

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Boyce, Mark S., Justin Pitt, Joseph M. Northrup, et al. "Temporal autocorrelation functions for movement rates from global positioning system radiotelemetry data." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1550 (2010): 2213–19. http://dx.doi.org/10.1098/rstb.2010.0080.

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Autocorrelation has been viewed as a problem in telemetry studies because sequential observations are not independent in time or space, therefore violating assumptions for statistical inference. Yet nearly all ecological and behavioural data are autocorrelated in both space and time. We argue that there is much to learn about the structure of ecological and behavioural data from patterns of autocorrelation. Such patterns include periodicity in movement and patchiness in spatial data, which can be characterized by an autocorrelogram, semivariogram or spectrum. We illustrate the utility of temporal autocorrelation functions (ACFs) for analysing step-length data from GPS telemetry of wolves ( Canis lupus ), cougars ( Puma concolor ), grizzly bears ( Ursus arctos ) and elk ( Cervus elaphus ) in western Alberta. ACFs often differ by season, reflecting differences in foraging behaviour. In wilderness landscapes, step-length ACFs for predators decay slowly to apparently random patterns, but sometimes display strong daily rhythms in areas of human disturbance. In contrast, step lengths of elk are consistently periodic, reflecting crepuscular activity.
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Berkholts, V. V., A. I. Frid, M. B. Guzairov, and A. D. Kirillova. "Integrity control algorithms in the system for telemetry data collecting, storing and processings." Information Technology and Nanotechnology, no. 2416 (2019): 487–503. http://dx.doi.org/10.18287/1613-0073-2019-2416-487-503.

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The issues of improving the security of the modular system for collecting, storing and processing telemetric information on the state of the onboard subsystems of the aircraft in automatic mode are considered. It is based on an analysis of the use of modern technologies for the protection and processing of telemetric information to ensure certain aspects of the guaranteeability of the system as a whole.
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Prichard, Alexander K., Geoffry M. Carroll, John C. George, et al. "Use of satellite telemetry data, GIS, and HTML to create an interactive display of caribou movements." Rangifer 23, no. 5 (2003): 101. http://dx.doi.org/10.7557/2.23.5.1688.

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The use of animation clearly reveals the large annual variation in wintering areas and large differences in daily movement rates for this herd. This interactive display can be adapted for school groups, subsistence hunters, the general public, or scientists.
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Suciu, George, Alexandru Vulpe, Alexandru Martian, Simona Halunga, and Dragos Nicolae Vizireanu. "Big Data Processing for Renewable Energy Telemetry Using a Decentralized Cloud M2M System." Wireless Personal Communications 87, no. 3 (2015): 1113–28. http://dx.doi.org/10.1007/s11277-015-2527-7.

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31

Mignard, F., C. Bailer-Jones, U. Bastian, et al. "Gaia: organisation and challenges for the data processing." Proceedings of the International Astronomical Union 3, S248 (2007): 224–30. http://dx.doi.org/10.1017/s1743921308019145.

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AbstractGaia is an ambitious space astrometry mission of ESA with a main objective to map the sky in astrometry and photometry down to a magnitude 20 by the end of the next decade. While the mission is built and operated by ESA and an industrial consortium, the data processing is entrusted to a consortium formed by the scientific community, which was formed in 2006 and formally selected by ESA one year later. The satellite will downlink around 100 TB of raw telemetry data over a mission duration of 5 years from which a very complex iterative processing will lead to the final science output: astrometry with a final accuracy of a few tens of microarcseconds, epoch photometry in wide and narrow bands, radial velocity and spectra for the stars brighter than 17 mag. We discuss the general principles and main difficulties of this very large data processing and present the organization of the European Consortium responsible for its design and implementation.
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Bhatti, Muhammad Tousif, Arif A. Anwar, and Muhammad Azeem Ali Shah. "Revisiting Telemetry in Pakistan’s Indus Basin Irrigation System." Water 11, no. 11 (2019): 2315. http://dx.doi.org/10.3390/w11112315.

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The Indus Basin Irrigation System (IBIS) lacks a system for measuring canal inflows, storages, and outflows that is trusted by all parties, transparent, and accessible. An earlier attempt for telemetering flows in the IBIS did not deliver. There is now renewed interest in revisiting telemetry in Pakistan’s IBIS at both national and provincial scales. These investments are typically approached with an emphasis on hardware procurement contracts. This paper describes the experience from field installations of flow measurement instruments and communication technology to make the case that canal flows can be measured at high frequency and displayed remotely to the stakeholders with minimal loss of data and lag time between measurement and display. The authors advocate rolling out the telemetry system across IBIS as a data as a service (DaaS) contract rather than as a hardware procurement contract. This research addresses a key issue of how such a DaaS contract can assure data quality, which is often a concern with such contracts. The research findings inform future telemetry investment decisions in large-scale irrigation systems, particularly the IBIS.
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Atanasov, Ivaylo, Ventsislav Trifonov, Kamelia Nikolova, and Evelina Pencheva. "A Novel Approach to Design a Scalable Air Quality Monitoring System." International Journal of Information Technology and Web Engineering 7, no. 3 (2012): 37–54. http://dx.doi.org/10.4018/jitwe.2012070103.

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The research presents a novel approach to carbon dioxide (CO2) emissions monitoring and access to local air quality data. The approach applies the advanced Internet of things technology to design a mobile telemetry system for CO2 data collection and processing in order to be presented as a value-added application to mobile users. Based on requirements analysis, functional architecture for mobile telemetry system is proposed. The design aspects of mobile telemetry application layer protocol are studied. An approach to formal verification of protocol behavior is suggested. An information model that captures the basic concepts related to CO2 monitoring is proposed. Examples of ubiquitous access to CO2 measurements are described.
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Scollar, Irwin, Bernd Weidner, and Karel Segeth. "Display of archaeological magnetic data." GEOPHYSICS 51, no. 3 (1986): 623–33. http://dx.doi.org/10.1190/1.1442116.

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Magnetic data from archaeological sites have traditionally been displayed by contour, isometric, and dot‐density plotting, or by simulated gray‐scale techniques using symbol overprinting. These methods do not show fine linear structures in the data which are of great interest to archaeologists. If true gray‐scale methods using a modern video display, followed by film recording for hard copy are employed, image processing techniques can be applied to enhance the geometric structures of archaeological interest. Interpolation techniques for enlarging data to full screen size, along with compression methods to keep data within gray‐scale capabilities, are needed. Such techniques would introduce minimum distortion and allow faint details to be seen in the vicinity of strong anomalies. Postprocessing methods based on rapid image spatial filtering and enhancement algorithms could then be applied in an interactive environment.
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Zhang, Yu Zhuo. "Online Steady-State Telemetry Data's Practical Acquisition Method." Advanced Materials Research 816-817 (September 2013): 1250–53. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.1250.

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SCADA system is a real-time data source, and it can accurately record the real-time information of the power system. Due to renewable energy's connection to the power system, load fluctuations and scheduling switching operation, the power system is often in a dynamic process. The telemetry data provided by SCADA system contains two parts, the steady-state data and transient data. The data cannot be directly used in state estimation. So we propose histogram thinking and extract steady-state data from the real-time telemetry data, which provides good data for state estimation. This method has the character of quick calculating speed and accuracy, and is adapted to the needs of real-time data's processing.
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Salnikov, O. N., and A. D. Poluban. "Methods for increasing the noise immunity of the synchronization channel a telemetric signal." Informacionno-technologicheskij vestnik, no. 3 (October 30, 2018): 37–45. http://dx.doi.org/10.21499/2409-1650-2018-3-37-45.

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Frame synchronization methods plays an important role in the process of restoring telemetry data transmitted through communication channels with noises of various origins, and significantly affects the efficiency of the recovery procedure. Frame synchronization is important in the event that the nature of interference in the communication channel and the methods of processing the transmitted information allow the transmission of reliable and false messages to the data stream of telemetry, as well as stop and resume transmission at random times
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Dong, Xue Dong, Jun Ma, Yan Liu, Wei Wang, and Peng Ye. "Multiple Data Acquisition System Based on the AT89S52." Advanced Materials Research 562-564 (August 2012): 1780–83. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1780.

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The paper designs a multiple-data acquisition system based on the AT89S52. The system consists of two-way series A/D converter ADC0832, SCM AT89S52, extended 62256 RAM and LED display. It also describes the functional block diagram of system design, hardware interface schematics for each block and the software flow chart. By the acquisition, processing and display to the two road voltage signals, the results show that the system can realize the real-time data acquisition, processing and display for the multiple data, which has better versatility and can be widely used in the field of industrial automatic control.
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Silveira, Matheus Ferraz, and André L. S. Gradvohl. "Security analysis of the message queuing telemetry transport protocol." Revista Brasileira de Computação Aplicada 13, no. 2 (2021): 83–95. http://dx.doi.org/10.5335/rbca.v13i2.12163.

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The Internet of Things aims to assign computational processing and connection to simple objects on a network tocollect data and then perform analysis. Due to its easy use, simplified implementation has several informationsecurity problems. This article presents attack procedures in an IoT environment using the Message QueueTelemetry Transport protocol. For attack procedures, we use the Low Orbit Ion Cannon and Wireshark programs,compromising the integrity, confidentiality, and availability of data and network connection. After carrying outthe attack procedures, we implemented security methods on the network, such as data encryption and firewall toprotect data integrity and prevent network connection attacks
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Vetova, Stella. "Big Data Integration and Processing Model." WSEAS TRANSACTIONS ON COMPUTERS 20 (May 12, 2021): 82–87. http://dx.doi.org/10.37394/23205.2021.20.10.

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The presented paper deals with data integration and sorting of Covid-19 data. The data file contains fifteen data fiels and for the design of integration and sorting model each of them is configured in data type, format and field length. For the data integration and sorting model design Talend Open Studio is used. The model concerns the performance of four main tasks: data integration, data sorting, result display, and output in .xls file format. For the sorting process two rules are assigned in accordance with the medical and biomedical requirements, namely to sort report date descending order and the Country Name field in alphabetical one
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Suciu, George, Alexandru Vulpe, Alexandru Martian, Simona Halunga, and Dragos Nicolae Vizireanu. "Erratum to: Big Data Processing for Renewable Energy Telemetry Using a Decentralized Cloud M2M System." Wireless Personal Communications 87, no. 3 (2015): 1129. http://dx.doi.org/10.1007/s11277-015-2644-3.

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41

Gilat, Shlomo, and Dan Adam. "Processing of body surface potential maps for data compression and display." Journal of Electrocardiology 22, no. 3 (1989): 265–66. http://dx.doi.org/10.1016/0022-0736(89)90047-2.

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Loureiro, D., H. Alegre, S. T. Coelho, A. Martins, and A. Mamade. "A new approach to improve water loss control using smart metering data." Water Supply 14, no. 4 (2014): 618–25. http://dx.doi.org/10.2166/ws.2014.016.

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The control of water losses is a major concern in the sustainability of urban water utilities and in promoting the efficient use of this natural resource. Recent advances in telemetry technology provide high-resolution consumption data at the consumer level, allowing for a remarkable knowledge improvement on the different water balance components. However, few studies focus on systematic approaches for improving system operation and maintenance by processing and analysing large amounts of consumption data. This paper presents a new methodology to calculate real losses and apparent losses in distribution networks using data collected from telemetry systems. The methodology proposes a set of algorithms that are simple to implement. These algorithms were tested on different district metered areas (DMA) to improve understanding about water loss components and have already been included in commercial software. The results showed that these algorithms are robust and allow for accurately estimating the background leakage level (and unreported leaks and bursts), detecting earlier the occurrence of bursts and providing important insights into the type of illegal water uses. The use of these approaches reduced non-revenue water by more than 10% in the majority of the DMA tested. These findings are promising and demonstrate the strong potential of telemetry systems to reduce water losses and to improve the understanding of water uses.
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Ning, Ai Min, Cheng Li, and Zhao Liu. "Acoustic Transceiver Optimization Analysis for Downhole Sensor Data Telemetry via Drillstring." Applied Mechanics and Materials 302 (February 2013): 389–94. http://dx.doi.org/10.4028/www.scientific.net/amm.302.389.

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Downhole sensor data telemetry using acoustic waves along the drillstring helps to know the physical and chemical properties of the formation and drilling fluid in Logging While Drilling. However, complex drillstring channel characteristics and normal downhole drilling operations will often adversely affect the quality of acoustic telemetry. Based on a theoretical channel model, we analyze the effects of transceiver optimal placements on acoustic transmission through a periodic drillstring. Considering the downhole noisy conditions including the surface noise sources, the downhole noise sources and multiple reflection echoes, dual acoustic receivers and an acoustic isolator are analyzed to improve the Signal-to-Noise Ratio and the capacity of the uplink channel. By arranging two receivers spaced one-quarter wavelength apart at receiver ends, the suppression results of one-way downlink noises are evaluated with the aid of the channel transient simulation model. Then the isolating results of uplink noises from drilling bit are investigated, with regard to the isolator placed between the downhole transmitter and a noise source. These methods, in conjunction with the complex drillstring features, show that the uses of the available transceiver design and signal processing techniques can make the drillstring as a waveguide for transmitting downhole sensor information at high data rate.
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44

Kelleher, John H., and Bruce G. Coury. "The Influence of Personality in the Processing of Display Formats." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 13 (1993): 910–14. http://dx.doi.org/10.1177/154193129303701301.

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The importance of personality characteristics in the processing of displays is examined. Forty-six people, screened for specific information processing and decision making preferences using the MBTI, learned to classify instances of system data into one of four state categories. System data were presented in one of three types of display formats: a polygon; a bargraph; and a digital display. The experiment involved two sessions: a training session where each person learned the classification task; and an extended practice session with no feedback. The ability of people to accurately classify instances was found to be influenced by both the type of display and their personality type. The importance of individual differences in display research is discussed, with emphasis placed on the implications for training, and selection of display formats.
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Pies, Martin, Radovan Hajovsky, Martin Latocha, and Stepan Ozana. "Radio Telemetry Unit for Online Monitoring System at Mining Dumps." Applied Mechanics and Materials 548-549 (April 2014): 736–43. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.736.

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The paper deals with the description of complex monitoring system for remote monitoring of thermal processes, concentration of toxic gases and dustiness of the atmosphere. Each of these quantities is measured and consequently processed by use of wireless modules communicating with supervisor system. It presents design of communication among particular sensors and further data processing and transfer to the dispatching center.
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Stauder, Ralf, Daniel Ostler, Thomas Vogel, et al. "Surgical data processing for smart intraoperative assistance systems." Innovative Surgical Sciences 2, no. 3 (2017): 145–52. http://dx.doi.org/10.1515/iss-2017-0035.

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AbstractDifferent components of the newly defined field of surgical data science have been under research at our groups for more than a decade now. In this paper, we describe our sensor-driven approaches to workflow recognition without the need for explicit models, and our current aim is to apply this knowledge to enable context-aware surgical assistance systems, such as a unified surgical display and robotic assistance systems. The methods we evaluated over time include dynamic time warping, hidden Markov models, random forests, and recently deep neural networks, specifically convolutional neural networks.
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Fan, Pan Guo, Qin Zhong, and Si Yu Chen. "Design of Networked Dual-Core Parallel Processing Data Acquisition System." Advanced Materials Research 433-440 (January 2012): 5672–79. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5672.

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Whether the test of free-flight stall/spin can be carried out successfully, it depends on the airborne anti-stall parachute system, the performance indexes of the system are related to the test pilots’ safety directly. There are large numbers of test signals in the system and half of them are transient pulse signals, so it requires high real-time capability and data throughput level. Thus the danger of the Ignition testing experiment, Telemetry Tracking Monitoring is requisite. To satisfy the need of measuring electric parameters of an airborne anti-stall parachute system, a multi-thread real-time DAQ system of multi-task is constructed, using dual-core industrial computer and high-speed DAQ card as its core, LabWindows/CVI as VI software platform. By a method of dual-core parallel processing through OS kernel, system accomplishes multi-channel data acquisition with high real-timing and huge data throughput, and through TCP/IP, ODBC interface, remote measurement and database management is also accomplished. At the last, the system design a modularize software by DLL technology, packaging several functional modules in DLL form. This system implements the multi-thread mechanism and its synchronization, TCP/IP communication and parallel processing under LabWindows/CVI platform. Finally high real-timing and reliability of this system are validated by experiment.
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Mittleman, R. K., and N. W. Parker. "Micrograph image processing system." Proceedings, annual meeting, Electron Microscopy Society of America 44 (August 1986): 872–73. http://dx.doi.org/10.1017/s0424820100145704.

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We have developed a computer-driven image processing system for the analysis of STEM micrographs. Modern computer and data storage devices give the researcher the ability to record and store large numbers of images. Our system was designed to allow rapid viewing and to facilitate the measurement process. Making use of an IBM 4381-2 mainframe computer and a high resolution (1024 x 1280 pixels) Metheus Omega 500 display system, we have written a flexible, interactive system to display and process data from our electron microscopes. The system is menu-driven from a mouse and can call subroutines from fortran, pascal or APL.APL is an interpreted, interactive language that is particularly well suited to real time image processing. Algebraic manipulations can be performed with equal ease on arrays of any rank and the user can affect many complex operations on dataarrays, usually with a single line of code (e.g., gray scale expansion, zoom, inner and outer product, etc.).
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Ivanushkin, M. A., I. S. Tkachenko, S. L. Safronov, I. V. Kaurov, and S. S. Volgin. "On the results of processing of the telemetry data received from the “AIST” small satellite constellation." Journal of Physics: Conference Series 1368 (November 2019): 042062. http://dx.doi.org/10.1088/1742-6596/1368/4/042062.

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50

Lamonica, Dominique, Hilaire Drouineau, Hervé Capra, Hervé Pella, and Anthony Maire. "A framework for pre-processing individual location telemetry data for freshwater fish in a river section." Ecological Modelling 431 (September 2020): 109190. http://dx.doi.org/10.1016/j.ecolmodel.2020.109190.

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