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1
Content available remote Trojan spoofing: A threat to critical infrastructure
EN
This article explores the phenomenon of location spoofing—where the spoofer is able to “teleport” systems in and out of defined locations, either for the purpose of infiltration into no-go zones or for the “teleportation” out of real, defined zones in the physical world. The research relied on a qualitative methodology, utilising academic research findings, media reports, hacker demonstrations, and secondary data from these sources, to situate the spoofing threat in the context of international security. This conceptual, argumentative essay finds that signal spoofing, the methods of which can be followed via online scripts, allows users the ability to overcome geographically defined territorial restrictions. This, as this article finds, allows violent actors to weaponise systems, such as unmanned aerial systems, potentially leading to the escalation of political tensions in extreme but unfortunately ever-frequent episodes. The article concludes that, while Trojan spoofing (in particular) poses a real and an existential threat to international security, it is only a sum-of-all parts in considering other threats to critical functions in society. If geofences are used as a single point of security to protect assets against hostile actors, managers need to be aware of the vulnerability of intrusion and the resulting geopolitical consequences.
EN
Soldiers are the backbone of any armed force. They usually lose their lives due to the lack of medical assistance in emergency situations. Furthermore, army bases face problems due to the inability to track soldiers’ locations in the field. Hence, this paper proposes an interactive graphical user interface module (IGUIM) for soldiers’ bioinformatics acquisition and emergency reaction during combat, a global positioning system (GPS) is used to track soldiers’ locations through a device carried by the soldier. Soldiers’ bioinformatics are gathered using health monitoring biosensors, bidirectional communication between the soldiers and the army base is established via a global system for mobile (GSM). The proposed interactive module aims to enumerate the soldiers on the battlefield within a database that easily facilitates health monitoring, position tracking and bidirectional communication with each soldier through their identification number. The proposed IGUIM will increase the rate of soldiers’ survival in emergencies, which contributes to preserving the human resources of the army during combat.
EN
The vehicular ad-hoc network (VANET) is subject to various attacks because of its dynamic nature and ephemeral character. In VANET, vehicles communicate with each other for safety awareness. The positioning of an unknown vehicle is one of the critical factors to determine the vehicle’s trustworthiness. Although some positioning techniques have achieved a high accuracy level in VANET, they suffer from dynamic noise in real-world environments. This drawback leads to inaccuracy and unreliability during vehicle positioning. In this paper, an optimal innovation based adaptive estimation Kalman filter (OIAE-KF) is proposed. This algorithm offers an alternative solution for the basic Kalman filter and the innovation based adaptive estimation Kalman filter (IAE-KF). The proposed algorithm makes use of fusion of the global navigation satellite system (GNSS) and the inertial measurement unit (IMU) to improve its performance. The OIAE-KF works based on the innovation sequence and involves three steps such as establishing the innovation sequence, applying the innovation property, checking the optimality of the Kalman filter and, finally, estimating process noise (Q) and measurement noise (R). An optimal swapping method is introduced for optimality check. The efficiency of the proposed OIAE-KF method is proved by comparing the predictions of the existing methods such as the IAE-KF. The results show that the OIAE-KF performs better than the existing techniques. It improves the accuracy and consistency in VANET positioning.
4
Content available remote Detection of ionospheric scintillation effects using LMD–DFA
EN
The performance and measurement accuracy of global navigation satellite system (GNSS) receivers is greatly affected by ionospheric scintillations. Rapid amplitude and phase variations in the received GPS signal, known as ionospheric scintillation, affects the tracking of signals by GNSS receivers. Hence, there is a need to investigate the monitoring of various activities of the ionosphere and to develop a novel approach for mitigation of ionospheric scintillation effects. A method based on Local Mean Decomposition (LMD)–Detrended Fluctuation Analysis (DFA) has been proposed. The GNSS data recorded at Koneru Lakshmaiah (K L) University, Guntur, India were considered for analysis. The carrier to noise ratio (C/N0) of GNSS satellite vehicles were decomposed into several product functions (PF) using LMD to extract the intrinsic features in the signal. Scintillation noise was removed by the DFA algorithm by selecting a suitable threshold. It was observed that the performance of the proposed LMD–DFA was better than that of empirical mode decomposition (EMD)–DFA.
EN
The main goal of the article is generalization of intellectual innovation project of information system “Mobile information assistant of the tourist” (MIAT), which provide a full-featured integrated information and technological support to tourists during planning and implementation stages of his journey using a wide range of modern information technologies. About two-thirds of today's tourists use information technology to plan and support their journey, while a significant number of them use mobile computer and telecommunications devices. The result of the research made by the group of researchers of the University “Lviv Polytechnic” is the project of innovative intelligent system “Mobile information assistant of a tourist” oriented on IT support of the user in planning and realization of his/her tourist trip in accordance with information technology slogan “EVERYTHING! HERE! IMMEDIATELY!!!”.
EN
The basis of high precision relative positioning is the use of carrier phase measurements. Data differencing techniques are one of the keys to achieving high precision positioning results as they can significantly reduce a variety of errors or biases in the observations and models. Since GPS observations are usually contaminated by many errors such as the atmospheric biases, the receiver clock bias, the satellite clock bias, and so on, it is impossible to model all systematic errors in the functional model. Although the data differencing techniques are widely used for constructing the functional model, some un-modeled systematic biases still remain in the GPS observations following such differencing. Another key to achieving high precision positioning results is to fix the initial carrier phase ambiguities to their theoretical integer values. To obtain a high percentage of successful ambiguity-fixed rates, noisy GPS satellites have to be identified and removed from the data processing step. This paper introduces a new method using genetic algorithm (GA) to optimize the best combination of GPS satellites which yields the highest number of successful ambiguity-fixed solutions in kinematic positioning mode. The results indicate that the use of GA can produce higher number of ambiguity-fixed solutions than the standard data processing technique.
7
Content available remote System lokalizacji pieszego
PL
Przedstawiono system lokalizacji wykorzystujący Globalny System Pozycjonowania oraz nawigację inercyjną. Opisano koncepcję systemu, warunki działania i wyniki wstępnych doświadczeń.
EN
The paper presents a location system utiiizing Global Positioning System and dead reckoning navigation. There are described the system design, its operating conditions, and results of initial testing.
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