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Academic literature on the topic 'INS data'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "INS data"

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Timofeev, E. A., and G. S. Tsekhanovich. "INS simulator for debugging INS/GNSS data." IEEE Aerospace and Electronic Systems Magazine 24, no. 1 (January 2009): 38–40. http://dx.doi.org/10.1109/maes.2009.4772753.

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Bitar, K. N., C. Hillemeier, P. Biancani, and K. J. Balazovich. "Regulation of smooth muscle contraction in rabbit internal anal sphincter by protein kinase C and Ins(1,4,5)P3." American Journal of Physiology-Gastrointestinal and Liver Physiology 260, no. 4 (April 1, 1991): G537—G542. http://dx.doi.org/10.1152/ajpgi.1991.260.4.g537.

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We have examined the role of protein kinase C (PKC)-beta II and its functional relationship to inositol 1,4,5-trisphosphate [Ins(1,4,5)P3] and intracellular Ca2+ in the contraction of smooth muscle cells from the rabbit internal and sphincter (IAS). PKC-beta (0.1-100 U/ml) and Ins(1,4,5)P3 (10(-9) to 10(-6) M) caused concentration-dependent contraction of IAS smooth muscle cells permeabilized by saponin. The combination of threshold concentrations of Ins(1,4,5)P3 (10(-9) M) and PKC (0.1 U/ml) was more than additive, causing near maximal shortening (28.2 +/- 2.1% decrease in cell length from control). The response to high concentrations of Ins(1,4,5)P3 and PKC used in combination was not greater than the response to either agent alone. The calmodulin antagonist W-7 (10(-9) M) inhibited the maximal contraction induced by Ins(1,4,5)P3 but not contraction caused by PKC, whereas the PKC antagonist H-7 (10(-6) M) inhibited the maximal contraction induced by PKC but not contraction caused by Ins(1,4,5)P3. Threshold doses of the ionophores A23187 (10(-9) M) and ionomycin (0.2 ng/ml) caused little contraction by themselves, but they potentiated the response elicited by a threshold concentration of PKC (0.1 U/ml), inducing maximal contraction. Preincubation of IAS cells with 4 mM Sr2+, which inhibits the release of intracellular Ca2+, abolished the potentiating effect of Ins(1,4,5)P3 and calcium ionophores on PKC, but the calmodulin antagonist W-7 did not. These data suggest that the contractile effect of maximally effective doses of PKC is independent of the effects of Ins(1,4,5)P3. At submaximal concentrations, however, PKC-dependent contraction is potentiated by Ins(1,4,5)P3 or by ionophore-mediated release of intracellular Ca2+ without requiring calmodulin activation.
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Aziez, Sameir A., Nawar Al-Hemeary, Ahmed Hameed Reja, Tamás Zsedrovits, and György Cserey. "Using KNN Algorithm Predictor for Data Synchronization of Ultra-Tight GNSS/INS Integration." Electronics 10, no. 13 (June 23, 2021): 1513. http://dx.doi.org/10.3390/electronics10131513.

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The INS system’s update rate is faster than that of the GNSS receiver. Additionally, GNSS receiver data may suffer from blocking for a few seconds for different reasons, affecting architecture integrations between GNSS and INS. This paper proposes a novel GNSS data prediction method using the k nearest neighbor (KNN) predictor algorithm to treat data synchronization between the INS sensors and GNSS receiver and overcome those GNSS receiver’s blocking, which may occur for a few seconds. The experimental work was conducted on a flying drone over a minor Hungarian (Mátyásföld, 47.4992 N, 19.1977 E) model airfield. The GNSS data are predicted by four different scenarios: the first is no blocking of data, and the other three have blocking periods of 1, 4, and 8 s, respectively. Ultra-tight architecture integration is used to perform the GNSS/INS integration to deal with the INS sensors’ inaccuracy and their divergence throughout the operation. The results show that using the GNSS/INS integration system yields better positioning data (in three axes (X, Y, and Z)) than using a stand-alone INS system or GNSS without a predictor.
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HASAN, AHMED M., KHAIRULMIZAM SAMSUDIN, ABDUL RAHMAN RAMLI, and RAJA SYAMSUL AZMIR. "COMPARATIVE STUDY ON WAVELET FILTER AND THRESHOLDING SELECTION FOR GPS/INS DATA FUSION." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 03 (May 2010): 457–73. http://dx.doi.org/10.1142/s0219691310003572.

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Navigation and guidance of an autonomous vehicle require determination of the position and velocity of the vehicle. Therefore, fusing the Inertial Navigation System (INS) and Global Positioning System (GPS) is important. Various methods have been applied to smooth and predict the INS and GPS errors. Recently, wavelet de-noising methodologies have been applied to improve the accuracy and reliability of the GPS/INS system. In this work, analysis of real data to identify the optimal wavelet filter for each GPS and INS component for high quality error estimation is presented. A comprehensive comparison of various wavelet thresholding selections with different level of decomposition is conducted to study the effect on GPS/INS error estimation while maintaining the original features of the signal. Results show that while some wavelet filters and thresholding selection algorithms perform better than others on each of the GPS and INS components, no specific parameter selection perform uniformly better than others.
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Baselga, Sergio, Luis García-Asenjo, Pascual Garrigues, and José Luis Lerma. "Inertial Navigation System Data Filtering Prior to GPS/INS Integration." Journal of Navigation 62, no. 4 (October 2009): 711–20. http://dx.doi.org/10.1017/s0373463309990117.

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In the integration of Global Positioning System (GPS) and Inertial Navigation System (INS), the commonly used Kalman filter provides satisfactory results if both sources of information are continuously available. However, GPS outages provoke a fast degradation of precision, especially in low dynamic trajectories such as a mobile platform device held by a human operator. To deal with this problem we propose a data-filtering scheme to apply to INS raw data prior to the integration with GPS. The proposed technique proves to be very valuable for mitigating the high short-term instability of raw INS data during the walking movement and is also capable of eliminating the induced undesirable human operator vibrations. Final imposed corrections adapted to the particular dynamical response of the INS sensor provide comparably accurate results and often better than those achieved in similar works with the use of the Kalman filter.
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Nassar, Sameh, and Naser El-Sheimy. "Wavelet Analysis For Improving INS and INS/DGPS Navigation Accuracy." Journal of Navigation 58, no. 1 (January 2005): 119–34. http://dx.doi.org/10.1017/s0373463304003005.

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The integration of the Global Positioning System (DGPS) with an Inertial Navigation System (INS) has been implemented for several years. In an integrated INS/DGPS system, the DGPS provides positions while the INS provides attitudes. In case of DGPS outages (signal blockages), the INS is used for positioning until the DGPS signals are available again. One of the major issues that limit the INS accuracy, as a stand-alone navigation system, is the level of sensor noise. The problem with inertial data is that the required signal is buried into a large window of high frequency noise. If such noise component could be removed, the overall inertial navigation accuracy is expected to improve considerably. The INS sensor outputs contain actual vehicle motion and sensor noise. Therefore, the resulting position errors are proportional to the existing sensor noise and vehicle vibrations. In this paper, wavelet techniques are applied for de-noising the inertial measurements to minimize the undesirable effects of sensor noise and other disturbances. To test the efficiency of inertial data de-noising, two road vehicle INS/DGPS data sets are utilized. Compared to the obtained position errors using the original inertial measurements, the results showed that the positioning performance using de-noised data improves by 34%–63%.
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Chang, Jonathan, and Eric Sun. "Location3: How Users Share and Respond to Location-Based Data on Social." Proceedings of the International AAAI Conference on Web and Social Media 5, no. 1 (August 3, 2021): 74–80. http://dx.doi.org/10.1609/icwsm.v5i1.14141.

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In August 2010 Facebook launched Places, a location-based service that allows users to check into points of interest and share their physical whereabouts with friends. The friends who see these events in their News Feed can then respond to these check-ins by liking or commenting on them. These data consisting of the places people go and how their friends react to them are a rich, novel dataset. In this paper we first analyze this dataset to understand the factors that influence where users check in, including previous check-ins, similarity to other places, where their friends check in, time of day, and demographics. We show how these factors can be used to build a predictive model of where users will check in next. Then we analyze how users respond to their friends’ check-ins and which factors contribute to users liking or commenting on them. We show how this can be used to improve the ranking of check-in stories, ensuring that users see only the most relevant updates from their friends and ensuring that businesses derive maximum value from check-ins at their establishments. Finally, we construct a model to predict friendship based on check-in count and show that cocheck-ins has a statistically significant effect on friendship.
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Tiano, A., A. Zirilli, M. Cuneo, and S. Pagnan. "Multisensor Data Fusion Applied to Marine Integrated Navigation Systems." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 219, no. 3 (September 1, 2005): 121–30. http://dx.doi.org/10.1243/147509005x10512.

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This paper deals with the problem of designing a flexible and accurate integrated navigation system (INS) for marine craft. The proposed INS is based on the integration of a global positioning system (GPS) with a compass and a speed log. After introducing the scopes and functions of the proposed INS, mathematical models of its main components are presented. Then the development of a new multisensor data fusion algorithm for carrying out an accurate estimation of the main state variables is presented. The theoretical background for the sensor fusion is based on the classical Kalman filter theory, which allows to update an a priori position estimate, given by a dead-reckoning system, with the information supplied by a GPS positioning system. Finally the filtering algorithm is extended in the framework of interval analysis and fuzzy set theory in order to improve the reliability and robustness of the estimation algorithm. The validity of the proposed approach is demonstrated by simulation examples applied to a container ship navigating in realistic conditions.
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Aftatah, Mohammed, Abdelkabir Lahrech, Abdelouahed Abounada, and Aziz Soulhi. "GPS/INS/Odometer Data Fusion for Land Vehicle Localization in GPS Denied Environment." Modern Applied Science 11, no. 1 (October 11, 2016): 62. http://dx.doi.org/10.5539/mas.v11n1p62.

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The main purpose of this paper is to present a fusion approach to bridge the period of Global Positioning System (GPS) outages using two proprioceptive sensors that are the Inertial Navigation System (INS) and the odometer in order to assure a continuous localization for land vehicle in urban areas where GPS signal blockage is very often. Odometer and GPS measures are exploited to correct inertial sensor errors. In fact, during GPS availability, INS is integrated with GPS to provide accurate localization solution; whereas during GPS outages, the odometer measurements are used to correct the INS error thereby improving the positioning accuracy and assuring the continuity of navigation solution. The problem of estimation of vehicle localization is realized by Kalman Filter (KF) that merges sensor measurements. The paper thus introduces results from simulation and real data.
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Verjans, B., C. C. Petersen, and M. J. Berridge. "Overexpression of inositol 1,4,5-trisphosphate 3-kinase in Xenopus oocytes inhibits agonist-evoked capacitative calcium entry." Biochemical Journal 304, no. 3 (December 15, 1994): 679–82. http://dx.doi.org/10.1042/bj3040679.

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Ins(1,4,5)P3 3-kinase is a key enzyme in the regulation of Ins(1,4,5)P3. Overexpression of Ins(1,4,5)P3 3-kinase inhibited agonist-evoked and Ins(1,3,4,5)P4-evoked Ca2+ entry in Xenopus oocytes, but did not inhibit Ca2+ entry evoked by thapsigargin or non-metabolizable Ins(1,4,5)P3 analogues. The data suggest that Ins(1,4,5)P3 alone plays the crucial role in the activation of capacitative Ca2+ entry by emptying intracellular stores.
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Dissertations / Theses on the topic "INS data"

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Adusumilli, Srujana. "Development of Statistical Learning Techniques for INS and GPS Data Fusion." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1398772813.

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Almshekhs, Rasha. "Data Modeling to Predict the Performance of Emerson Walk-in Freezer." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512143011742024.

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Burman, Helén. "Calibration and orientation of airborne image and laser scanner data using GPS and INS." Doctoral thesis, KTH, Geodesy and Photogrammetry, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2970.

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GPS and INS measurements provide positions and attitudesthat can be used for direct orientation of airborne sensors.This research improves the final results by performingsimultaneous adjustments of GPS, INS and image or laser scannerdata. The first part of this thesis deals with in-airinitialisation of INS attitude using GPS and INS velocitydifference. This is an improvement over initialisation on theground. Even better results can probably be obtained ifaccelerometer biases are modelled and horizontal accelerationsmade larger.

The second part of this thesis deals with GPS/INSorientation of aerial images. Theoretical investigations havebeen made to find the expected accuracy of stereo models andorthophotos oriented by GPS/INS. Direct orientation will becompared to block triangulation. Triangulation can to greaterextent model systematic errors in image and GPS-coordinates.Further, the precision in attitude after triangulation isbetter than that found in present INS performance. On the otherhand, direct orientation can provide more effective dataprocessing, since there is no need for finding or measuring tiepoints or ground control points. In strip triangulation, thenumber of ground control points can be reduced, since INSattitude measurements control error propagation through thestrip. Even if consecutive images are strongly correlated indirect orientation, it is advisable to make a relativeorientation to minimise stereo model deformations.

The third part of this thesis deals with matching laserscanner data. Both elevation and intensity data are used formatching and the differences between overlapping strips aremodelled as exterior orientation errors. Special attention ispaid to determining misalignment between the INS and the laserscanner coordinate systems. We recommend flying in fourdifferent directions over an area with elevation and/orintensity gradients. In this way, misalignment can be foundwithout any ground control. This method can also be used withother imaging sensors,e.g.an aerial camera.

Keywords:Airborne, Camera, Laser scanner, GPS, INS,Adjustment, Matching.

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Singh, Mahendra, Stuart McNamee, Rick Navarro, Amy Fleishans, Louie Garcia, and Allen Khosrowabadi. "IMPROVING PERFORMANCE OF SINGLE OBJECT TRACKING RADAR WITH INTEGRATED GPS/INS." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608266.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California
A novel approach combines GPS receiver technology with micro-electromechanical inertial sensors to improve performance of single object tracking radar. The approach enhances range safety by integrating an airborne Global Positioning System/Inertial Movement Unit (GPS/IMU) with a C-band transponder to downlink time-space-position information (TSPI) via FPS-16 instrumentation radar. This improves current telemetry links and the Range Application Joint Program Office (RAJPO) data link for downlinking TSPI because of the inherent long-range advantage of the radar. The goal of the project is to provide distance independent accuracy, and to demonstrate continuous 15-meter or better position accuracy over the entire flight envelope out to slant ranges up to 1,000 Km with at least 50 updates per second. This improves safety coverage for the wide area flight testing. It provides risk reduction for the Air Force Flight Test Center (AFFTC), Edwards Air Force Base, California and other ranges planning TSPI system upgrades.
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McIntyre, David S. "GPS effective data rate optimization with applications to integrated GPS/INS attitude and heading determination." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1182445154.

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Persson, Joakim. "Bearbetning av GPS-data vid Flyg- och Systemprov." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1166.

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At Flight and Systems test Saab AB, a post-processing software is used to process GPS data. A new software by the name GrafNav has been purchased and the purpose of this master thesis therefore became, partly to make a judgment regarding GrafNav’s ability to estimate position, velocity and accuracy, partly to if needed improve the estimate and finally find one or several methods to estimate the position and velocity accuracy.

The judgment of GrafNav was performed partly by a comparison to the former post-processing software (PNAV) and partly by a comparison to the airplane’s inertial navigation system (INS). The experiments showed that GrafNav’s ability to estimate the position is comparable with PNAV:s, but its capacity to estimate the velocity is considerably worse. The velocity estimate even showed a more noisy behavior than the original velocity from the receiver. More effort is needed to judge GrafNav’s ability to estimate the accuracy thru its quality signals.

A few trials were made to improve the velocity estimate thru Kalman filtering (Rauch-Tung-Striebel smoothing). The filtering was first made using only the position data from GrafNav as measurements and afterwards both position and velocity data from GrafNav was used. The outcome of the Kalman filtering showed that the best result is obtained when solely position data is used and that the estimate in general is comparable with PNAV:s estimate, but considerable big deviations is obtained in conjunction to interruptions in position data. More over, is more effort needed using both position and velocity data when performing the smoothing and also replacing the stationary Kalman filter with an adaptive filter.

Finally a method was brought out to estimate the position precision and a method to estimate the velocity accuracy. Both methods use the INS velocity to perform an estimation.

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Pálenská, Markéta. "Návrh algoritmu pro fúzi dat navigačních systémů GPS a INS." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-230495.

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Diplomová práce se zabývá návrhem algoritmu rozšířeného Kalmanova filtru, který integruje data z inerciálního navigačního systému (INS) a globálního polohovacího systému (GPS). Součástí algoritmu je i samotná mechanizace INS, určující na základě dat z akcelerometrů a gyroskopů údaje o rychlosti, zeměpisné pozici a polohových úhlech letadla. Vzhledem k rychlému nárůstu chybovosti INS je výstup korigován hodnotami rychlosti a pozice získané z GPS. Výsledný algoritmus je implementován v prostředí Simulink. Součástí práce je odvození jednotlivých stavových matic rozšířeného Kalmanova filtru.
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Vitkovskiy, Arseniy <1979&gt. "Memory hierarchy and data communication in heterogeneous reconfigurable SoCs." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/1127/.

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The miniaturization race in the hardware industry aiming at continuous increasing of transistor density on a die does not bring respective application performance improvements any more. One of the most promising alternatives is to exploit a heterogeneous nature of common applications in hardware. Supported by reconfigurable computation, which has already proved its efficiency in accelerating data intensive applications, this concept promises a breakthrough in contemporary technology development. Memory organization in such heterogeneous reconfigurable architectures becomes very critical. Two primary aspects introduce a sophisticated trade-off. On the one hand, a memory subsystem should provide well organized distributed data structure and guarantee the required data bandwidth. On the other hand, it should hide the heterogeneous hardware structure from the end-user, in order to support feasible high-level programmability of the system. This thesis work explores the heterogeneous reconfigurable hardware architectures and presents possible solutions to cope the problem of memory organization and data structure. By the example of the MORPHEUS heterogeneous platform, the discussion follows the complete design cycle, starting from decision making and justification, until hardware realization. Particular emphasis is made on the methods to support high system performance, meet application requirements, and provide a user-friendly programmer interface. As a result, the research introduces a complete heterogeneous platform enhanced with a hierarchical memory organization, which copes with its task by means of separating computation from communication, providing reconfigurable engines with computation and configuration data, and unification of heterogeneous computational devices using local storage buffers. It is distinguished from the related solutions by distributed data-flow organization, specifically engineered mechanisms to operate with data on local domains, particular communication infrastructure based on Network-on-Chip, and thorough methods to prevent computation and communication stalls. In addition, a novel advanced technique to accelerate memory access was developed and implemented.
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Moretti, Simone <1983&gt. "Data Processing and Fusion For Multi-Source Wireless Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7450/.

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The constant evolution of the telecommunication technologies is one fundamental aspect that characterizes the modern era. In the context of healthcare and security, different scenarios are characterized by the presence of multiple sources of information that can support a large number of innovative services. For example, in emergency scenarios, reliable transmission of heterogeneous information (health conditions, ambient and diagnostic videos) can be a valid support for managing the first-aid operations. The presence of multiple sources of information requires a careful communication management, especially in case of limited transmission resource availability. The objective of my Ph.D. activity is to develop new optimization techniques for multimedia communications, considering emergency scenarios characterized by wireless connectivity. Different criteria are defined in order to prioritize the available heterogeneous information before transmission. The proposed solutions are based on the modern concept of content/context awareness: the transmission parameters are optimized taking into account the informative content of the data and the general context in which the information sources are located. To this purpose, novel cross-layer adaptation strategies are proposed for multiple SVC videos delivered over wireless channel. The objective is to optimize the resource allocation dynamically adjusting the overall transmitted throughput to meet the actual available bandwidth. After introducing a realistic camera network, some numerical results obtained with the proposed techniques are showed. In addition, through numerical simulations the benefits are showed, in terms of QoE, introduced by the proposed adaptive aggregation and transmission strategies applied in the context of emergency scenarios. The proposed solution is fully integrated in European research activities, including the FP7 ICT project CONCERTO. To implement, validate and demonstrate the functionalities of the proposed solutions, extensive transmission simulation campaigns are performed. Hence, the presented solutions are integrated on a common system simulator which is been developed within the CONCERTO project.
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Giannuzzi, Fabio <1986&gt. "General-Purpose Data Acquisition Cards Based on FPGAs and High Speed Serial Protocols." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7519/.

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This thesis exhibits the results of my PhD Apprenticeship Program, carried out at the “Marposs S.p.a.” firm, in the electronic research division, and at the Department of Physics and Astronomy of the Bologna University, in the INFN's electronics laboratories of the ATLAS group. During these three years of research, I worked on the development and realization of electronic boards dedicated to flexible data acquisition, designed to be applied in several contexts, that need to share high performance FPGAs and high-speed serial communications. The thesis describes the successful application of high-speed configurable electronic devices to two different fields, firstly developed in the particle physics scenario, and then the industrial measurement of mechanical pieces, reaching the main goal of the PhD Apprenticeship Program. The common denominator is the development of high speed electronics based on FPGAs for demanding data acquisition and data processing applications. The thesis describes the contribution to the luminosity monitor of LHC at CERN and illustrates a multi-camera system developed for automatic inspection of mechanical pieces made by a machine tool. The Apprenticeship Program allowed me to continue my academic course in parallel with my working activity, giving me the opportunity to finalize the project started during my internship and thesis for my master degree. It also allowed me to achieve a higher level in education and training in two different contexts of excellence, i.e. the industrial company and the academic research, where I concretely learned the best technical knowledge. The chance of bringing together two distant worlds was the most enthusiastic aspect of this PhD research. The world of industry and academic research face similar problems but with different points of view and goals. I had the opportunity to explore pure academic research, and also to apply the knowledge acquired in these years to the industrial research.
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Books on the topic "INS data"

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S, Schiff Ronny, ed. MIDI, the ins, outs & thrus. Milwaukee, Wis: H. Leonard Books, 1987.

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INS yutaka na mirai o kizuku. Tōkyō: Daiyamondosha, 1985.

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International Symposium on Data Analysis, the Ins and Outs of Solving Real Problems (4th 1985 Brussels, Belgium). Data analysis: The ins and outs of solving real problems. New York: Plenum Press, 1987.

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Association, for Population/Family Planning Libraries and Information Centers International Conference. Ins and outs of health and population data: Proceedings of the Twentieth Annual Conference, Association for Population/Family Planning Libraries and Information Centers, International, Chicago Marriott Downtown, Chicago, Illinois, April 27-30, 1987. New York: The Association, 1988.

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Semiconductors, Philips. ICs for data communications: Data handbook. Eindhoven: Philips Semiconductors, 1992.

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Semiconductors, Philips. ICs for data communications: Data handbook. Eindhoven: Philips Semiconductors, 1998.

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Semiconductors, Philips. Multimedia ICs: Data handbook. Eindhoven: Philips Semiconductors, 1997.

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Semiconductors, Philips. ICs for data communications. Eindhoven: Philips Semiconductors, 1995.

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Phillips. Multimedia ICs data handbook. [US]: Phillips, 1997.

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Co, Rohm. Industrial ICs: Data book. Antioch: Rohm, 1995.

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Book chapters on the topic "INS data"

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Zadrozny, Peter, and Raghu Kodali. "Analyzing Foursquare Check-Ins." In Big Data Analytics Using Splunk, 231–53. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5762-2_13.

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Napier, Michael. "Data Processing for GPS/INS Integration." In High Precision Navigation, 571–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_41.

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Dao, Tinh Cong, and Hai Thanh Nguyen. "Human Mobility Prediction Using k-Latest Check-ins." In Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 36–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8062-5_3.

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Rahman, Hamidur, Shahina Begum, and Mobyen Uddin Ahmed. "Ins and Outs of Big Data: A Review." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 44–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51234-1_7.

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Zhang, Quan, Xiaoji Niu, Linlin Gong, Hongping Zhang, Chuang Shi, Chuanchuan Liu, Jun Wang, and Matthew Coleman. "Development and Evaluation of GNSS/INS Data Processing Software." In Lecture Notes in Electrical Engineering, 685–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37407-4_63.

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Braun, Richard, and Werner Esswein. "Extending the MOF for the Adaptation of Hooks, Aspects, Plug-Ins and Add-Ons." In Model and Data Engineering, 28–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23781-7_3.

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Alberts, B. A., B. C. Gunter, A. Muis, Q. P. Chu, G. Giorgi, L. Huisman, P. J. Buist, C. C. J. M. Tiberius, and H. Lindenburg. "Correcting Strapdown GPS/INS Gravimetry Estimates with GPS Attitude Data." In Gravity, Geoid and Earth Observation, 93–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10634-7_13.

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Liu, Chun-Hao, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, and Shih-Chieh Chang. "Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins." In Advances in Knowledge Discovery and Data Mining, 217–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16145-3_17.

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Arzoky, Mahir, Stephen Swift, Steve Counsell, and James Cain. "An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins." In Advances in Intelligent Data Analysis XIII, 25–36. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12571-8_3.

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Zhang, Chao, and Jiawei Han. "Data Mining and Knowledge Discovery." In Urban Informatics, 797–814. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_42.

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AbstractOur physical world is being projected into online cyberspace at an unprecedented rate. People nowadays visit different places and leave behind them million-scale digital traces such as tweets, check-ins, Yelp reviews, and Uber trajectories. Such digital data are a result of social sensing: namely people act as human sensors that probe different places in the physical world and share their activities online. The availability of massive social-sensing data provides a unique opportunity for understanding urban space in a data-driven manner and improving many urban computing applications, ranging from urban planning and traffic scheduling to disaster control and trip planning. In this chapter, we present recent developments in data-mining techniques for urban activity modeling, a fundamental task for extracting useful urban knowledge from social-sensing data. We first describe traditional approaches to urban activity modeling, including pattern discovery methods and statistical models. Then, we present the latest developments in multimodal embedding techniques for this task, which learns vector representations for different modalities to model people's spatiotemporal activities. We study the empirical performance of these methods and demonstrate how data-mining techniques can be successfully applied to social-sensing data to extract actionable knowledge and facilitate downstream applications.
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Conference papers on the topic "INS data"

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Peng, Xuefeng, Yiming Pan, and Jiebo Luo. "Predicting high taxi demand regions using social media check-ins." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258153.

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Bender, Daniel, Marek Schikora, Jurgen Sturm, and Daniel Greniers. "INS-camera calibration without ground control points." In 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF). IEEE, 2014. http://dx.doi.org/10.1109/sdf.2014.6954719.

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Miao, Zhibin, Hongtian Zhang, Jinzhu Zhang, and Ruiguang Geng. "Fuzz interpolation in GPS/INS data fusion." In 2010 International Conference on Information and Automation (ICIA). IEEE, 2010. http://dx.doi.org/10.1109/icinfa.2010.5512261.

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Reimer, C., F. J. Muller, and E. L. V. Hinuber. "INS/GNSS/odometer data fusion in railway applications." In 2016 DGON Intertial Sensors and Systems (ISS). IEEE, 2016. http://dx.doi.org/10.1109/inertialsensors.2016.7745678.

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Wang, Wei, and Peide Feng. "Data synchronization of INS and satellite system integration." In Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic technology, and Artificial Intelligence, edited by Jiancheng Fang and Zhongyu Wang. SPIE, 2006. http://dx.doi.org/10.1117/12.716773.

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Sandru, Florin-Daniel, Sorin Nanu, Ioan Silea, and Razvan-Catalin Miclea. "Kalman and Butterworth filtering for GNSS/INS data." In 2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC). IEEE, 2016. http://dx.doi.org/10.1109/isetc.2016.7781106.

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Cappelle, C., D. Pomorski, and Y. Yang. "GPS/INS Data Fusion for Land Vehicle Localization." In Multiconference on "Computational Engineering in Systems Applications. IEEE, 2006. http://dx.doi.org/10.1109/cesa.2006.4281617.

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Karaim, Malek O., Mohamed Youssef, and Aboelmagd Noureldin. "Performance Verification of Ultra-tight GPS/INS System Using a Comprehensive GPS/INS Data Simulation Tool." In 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018). Institute of Navigation, 2018. http://dx.doi.org/10.33012/2018.15988.

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Wang, Xichen, Jingtao Ding, Steve Uhlig, Yong Li, and Depeng Jin. "Deviations of Check-ins and Human Mobility Trajectory." In 2019 5th International Conference on Big Data Computing and Communications (BIGCOM). IEEE, 2019. http://dx.doi.org/10.1109/bigcom.2019.00026.

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Grigorie, Teodor Lucian, and Dragos George Sandu. "MEMS INS/GPS integrated structure evaluation with experimental data." In 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 2016. http://dx.doi.org/10.1109/iisa.2016.7785405.

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Reports on the topic "INS data"

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Haak, Jeffrey W. Verification of Robustified Kalman Filters for the Integration of Global Positioning System (GPS) and Inertial Navigation System (INS) Data,. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada288609.

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Brouillette, P., É. Girard, and G. Huot-Vézina. Geological Survey of Canada Bedrock Data Model and tools: design and user guide documentation including ArcGIS(TM) add-ins. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/314673.

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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Rink, C. Laboratory Data Consultants, Inc. Pre-Construction Soil Characterization - Data Validation. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1811777.

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Bower, J. C., M. J. Burford, T. R. Downing, M. C. Moise, and J. R. Williams. Data Management Guide: Integrated Baseline System (IBS). Version 2.1. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/91942.

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Moore, Andrew M., and Brian Powell. The ROMS IAS Data Assimilation And Prediction System: Quantifying Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531837.

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Moore, Andrew M., and Brian Powell. The ROMS IAS Data Assimilation and Prediction System: Quantifying Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542792.

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Moore, Andrew M., and Brian S. Powell. The ROMS IAS Data Assimilation and Prediction System: Quantifying Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada550400.

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Davis, Dennis, and Robert T. Kroutil. Application of Novel Data Processing Techniques to the Analysis of Ion Mobility Spectrometry (IMS) Data. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada219976.

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Haney, Tom, and Jill Lundell. Historical Data Analysis Supporting the Data Quality Objectives for the INL Site Environmental Soil Monitoring Program. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1769951.

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