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1

Congming, Cai, et National Institute of Standards and Technology (U.S.), dir. Visualizing terrain and navigation data. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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2

Sammarco, John J. Mining machine orientation control based on inertial, gravitational, and magnetic sensors. Washington, D.C : U.S. Dept. of the Interior, Bureau of Mines, 1990.

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3

Wägli, Adrian. Trajectory determination and analysis in sports by satellite and inertial navigation. Zürich : Schweizerische Geodätische Kommission, 2009.

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4

Strub, Richard. BOREAS level-0 C-130 navigation data. Greenbelt, Md : National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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5

Roseanne, Dominguez, Newcomer J et Goddard Space Flight Center, dir. BOREAS level-0 C-130 navigation data. Greenbelt, Md : National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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6

Roseanne, Dominguez, Newcomer J et Goddard Space Flight Center, dir. BOREAS level-0 C-130 navigation data. Greenbelt, Md : National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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7

Rickenbach, Mark Douglas. Correction of inertial navigation system drift errors for an autonomous land vehicle using optical radar terrain data. Monterey, Calif : Naval Postgraduate School, 1987.

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8

Kenkyūjo, Nagoya Daigaku Purazuma, dir. Workshop report on "simulation techniques for shock wave phenomena" and "characteristics of plasmas in inertial confinement fusion.". Nagoya, Japan : Institute of Plasma Physics, Nagoya University, 1985.

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9

National Aeronautics and Space Administration (NASA) Staff. Pulsing Inertial Oscillation, Supercell Storms, and Surface Mesonetwork Data. Independently Published, 2018.

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10

Fortune, Luke. Inertial Propulsion Systems : Scans of Government Archived Data on Advanced Tech. Createspace Independent Publishing Platform, 2012.

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11

BOREAS level-0 C-130 navigation data. Greenbelt, Md : National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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12

Kalinichenko, Evgeny. Theory and methods for calculating the inertial-braking characteristics of a ship. «Scientific Route» OÜ, 2020. http://dx.doi.org/10.21303/978-617-7319-30-5.

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One of the most serious problems of modern navigation is the accident rate that occurs due to inept or belated maneuvering of ships. As a result of accidents in the world, more than 200 ships die every year and every fourth receives significant damage. Full-scale tests show that the stopping distance of large-tonnage ships turn out to be much less permissible, and shipbuilders are able to significantly reduce the astern power of such ships, making them cheaper at the expense of safety. The low accuracy of inertial-braking characteristics is mainly due to unqualified field tests. Analysis of graphs and tables based on the results of such tests show that the spread in the values of inertial-braking characteristics for ships of the same type reaches 30%, and in some cases even more. In many tables and graphs, inertial-braking characteristics are expressed in relative values and are not suitable for direct use when maneuvering a ship. Finally, even when graphical and/or tabular maneuvering information is available on the navigating bridge, it is difficult to use it when maneuvering a ship at night. The research carried out by the author results in: - creation of an alternative computational method for determining the inertial-braking characteristics of the ship, suitable for use on any on-board computer; - development of an improved methodology for calculating the path and time of acceleration and braking of the ship in various ahead motion modes; - development of a methodology for taking into account the influence of a passing and opponent current on the length of the stopping distance of the ship; - development of methods for solving applied problems, ensuring a decrease in the accident rate of ships during maneuvering. The obtained methods include the development of theoretical foundations, mathematical models and comparison of the calculated inertial-braking characteristics of ships with the data of a full-scale experiment. For the first time, to derive the calculated formulas for the time and stopping distance, theorems are used on the change in the momentum and kinetic energy during accelerated and decelerated motion of the ship. In the course of the study, the problems of calculating and formalizing the inertial-braking characteristics of the ship are being comprehensively solved. For the first time, the hypothesis that the nature of the change in the thrust force of the propeller during reverse can be approximated by linear equations has been substantiated and confirmed. The general results are used to calculate the inertial-braking characteristics of specific ships.
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13

Suharevs, Artūrs. Research of Aircraft Ground Path Control Devices and Optimization at Takeoff and Landing Stages. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227684.

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This Thesis presents a universal method for determining the airplane braking and takeoff paths using the output data from the inertial navigation system and auxiliary systems. The result is a designed and assembled electronic device, based on the algorithm that determines how many meters are left to safely stop the aircraft or to the point of separation from ground in the case of takeoff. The device is designed to facilitate the work of an aircrew, increase the safety of flights, as well as to more efficiently use the resources of the aircraft.
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14

Erdem, Uğur Murat, Nicholas Roy, John J. Leonard et Michael E. Hasselmo. Spatial and episodic memory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0029.

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The neuroscience of spatial memory is one of the most promising areas for developing biomimetic solutions to complex engineering challenges. Grid cells are neurons recorded in the medial entorhinal cortex that fire when rats are in an array of locations in the environment falling on the vertices of tightly packed equilateral triangles. Grid cells suggest an exciting new approach for enhancing robot simultaneous localization and mapping (SLAM) in changing environments and could provide a common map for situational awareness between human and robotic teammates. Current models of grid cells are well suited to robotics, as they utilize input from self-motion and sensory flow similar to inertial sensors and visual odometry in robots. Computational models, supported by in vivo neural activity data, demonstrate how grid cell representations could provide a substrate for goal-directed behavior using hierarchical forward planning that finds novel shortcut trajectories in changing environments.
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15

Palasca, Simona. Varstele dorului eminescian. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062813345.

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Doua aspecte fundamentale au stat la baza alegerii acestei teme de cercetare. Primul se refera la abundenta de exegeze, care a dat nastere atator inertii create de marile interpretari interbelice si care solicita o repozitionare a punctelor de vedere. Cel de-al doilea aspect aduce in atentie nevoia de re-contextualizare a mitului si a operei eminesciene. Sigur ca este greu sa mai spunem ceva cu totul nou despre Eminescu, dar consideram ca scrisul sau incurajeaza orice punct nou de vedere, orice interpretare noua, neaparat obiectiva, si care sa porneasca, in primul rand, de la opera. Orice intentie de analiza asupra operei lui Mihai Eminescu este incurajata de oamenii valorosi. Astfel, raspunzand indemnurilor marelui om de cultura, Constantin Noica, ar trebui sa renuntam la simpla contemplare a operelor mari care, dupa parerea domniei sale, au o alta functie: ,,aceea de a naste alte opere mari, sau macar de a modela omenescul din tine. Iar de nu, functia operelor mari este de a te face sa-ti ceri scuze ca existi.”
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