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  • 1
    Publication Date: 2020-08-17
    Description: A robotic navigation system operates flawlessly under an adequate GPS signal range, whereas indoor navigation systems use the simultaneous localization and mapping system or other vision-based localization systems. The sensor used in indoor navigation systems is not suitable for low power and small scale robotic systems. The wireless area network transmitting devices have fixed transmission power, and the receivers get the different values of signal strength based on their surrounding environments. In the proposed method, the received signal strength index (RSSI) values of three fixed transmitter units are measured every 1.6 m in mesh format and analyzed by the classifiers, and robot position can be mapped in the indoor area. After navigation, the robot analyzes objects and detects and recognize human faces with the help of object recognition and facial recognition-based classification methods respectively. This robot detects the intruder with the current position in an indoor environment.
    Electronic ISSN: 2079-9292
    Topics: Electrical Engineering, Measurement and Control Technology
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  • 2
    Publication Date: 2016-01-01
    Description: The presented work describes the method development of simultaneous determination of camylofin dihydrochloride (CMF), diclofenac potassium (DCF), and Paracetamol (PCM) using reversed phase high performance liquid chromatography (HPLC-UV) and the method was further transferred to a new generation instrument, ultraperformance liquid chromatography (UPLC-PDA). The detailed validation was carried out for the combination tablet formulation of CMF and DCF by UPLC-PDA. From the method development study, Acquity UPLC HSS C18 (2.1 × 50 mm, 1.8 μm) was finally selected for validation. The satisfactory results were observed for peak shape, retention time, and resolution with a mobile phase of 20 mM ammonium acetate buffer (pH 3.0 with dilute orthophosphoric acid) : methanol (33 : 67 v/v). The isocratic elution of mobile phase was carried out at a flow rate of 0.250 mL/min and detection at 220 nm. Both drugs were efficiently separated out in less than 3.5 min with 1.1 and 3.2 min of retention time of the CMF and DCF with 11.87 of resolution. The linearity was obtained in the 20.0–80.0 μg/mL range of concentration with 0.9998 of correlation coefficients for the substances. The method was analyzed for specificity with detailed force degradation study, which is a simple, precise, and accurate method, as per the International Conference on Harmonization (ICH) guidelines.
    Print ISSN: 2090-3502
    Electronic ISSN: 2090-3510
    Topics: Chemistry and Pharmacology
    Published by Hindawi
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  • 3
    Publication Date: 2021-09-01
    Description: Autonomous unmanned aerial vehicles work seamlessly within the GPS signal range, but their performance deteriorates in GPS-denied regions. This paper presents a unique collaborative computer vision-based approach for target tracking as per the image’s specific location of interest. The proposed method tracks any object without considering its properties like shape, color, size, or pattern. It is required to keep the target visible and line of sight during the tracking. The method gives freedom of selection to a user to track any target from the image and form a formation around it. We calculate the parameters like distance and angle from the image center to the object for the individual drones. Among all the drones, the one with a significant GPS signal strength or nearer to the target is chosen as the master drone to calculate the relative angle and distance between an object and other drones considering approximate Geo-location. Compared to actual measurements, the results of tests done on a quadrotor UAV frame achieve 99% location accuracy in a robust environment inside the exact GPS longitude and latitude block as GPS-only navigation methods. The individual drones communicate to the ground station through a telemetry link. The master drone calculates the parameters using data collected at ground stations. Various formation flying methods help escort other drones to meet the desired objective with a single high-resolution first-person view (FPV) camera. The proposed method is tested for Airborne Object Target Tracking (AOT) aerial vehicle model and achieves higher tracking accuracy.
    Electronic ISSN: 2079-9292
    Topics: Electrical Engineering, Measurement and Control Technology
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