Search results for "Positioning"
showing 10 items of 256 documents
Asynchronous sensor fusion of GPS, IMU and CAN-based odometry for heavy-duty vehicles
2021
[EN] In heavy-duty vehicles, multiple signals are available to estimate the vehicle's kinematics, such as Inertial Measurement Unit (IMU), Global Positioning System (GPS) and linear and angular speed readings from wheel tachometers on the internal Controller Area Network (CAN). These signals have different noise variance, bandwidth and sampling rate (being the latter, possibly, irregular). In this paper we present a non-linear sensor fusion algorithm allowing asynchronous sampling and non-causal smoothing. It is applied to achieve accuracy improvements when incorporating odometry measurements from CAN bus to standard GPS+IMU kinematic estimation, as well as the robustness against missing da…
Locating Objects Away from Earth Surface: Positioning Accuracy
2013
The motion of the Galileo and GPS satellite constellations is simulated in Schwarzschild space-time, whereas photons travel in Minkowski space-time. This is a good enough approach to deal with the main goal of this paper: the study of positioning accuracy in the framework of the so-called relativistic positioning. Our study is based on numerical 4D simulations. In this meeting, the contribution of J.A. Morales-Lladosa contains some basic ideas which have been important to perform our numerical calculations. For four chosen emitters (satellites) of a certain constellation, many receivers located at different distances from Earth surface and in distinct directions are considered. Thus, we ver…
Work-related language learning trajectories of migrant cleaners in Finland
2017
Cleaning is often the survival employment that migrants can get in their new home country. Ideally, the workplace can be a site for integration and language learning. This article explores how two migrants working as cleaners in Finland narrate their work-related Finnish language learning trajectories. The research is designed by applying nexus analysis (Scollon & Scollon, 2004), which focuses on social action in the intersection of interaction order, participants’ life experiences, and discourses in place. The social action in focus here is investment (Darvin & Norton, 2015), which means a commitment to developing language skills to achieve one’s aspirations. The article also analy…
A one class KNN for signal identification: a biological case study
2009
The paper describes an application of a one class KNN to identify different signal patterns embedded in a noise structured background. The problem becomes harder whenever only one pattern is well-represented in the signal; in such cases, one class classifier techniques are more indicated. The classification phase is applied after a preprocessing phase based on a multi layer model (MLM) that provides preliminary signal segmentation in an interval feature space. The one class KNN has been tested on synthetic and real (Saccharomyces cerevisiae) microarray data in the specific problem of DNA nucleosome and linker regions identification. Results have shown, in both cases, a good recognition rate.
Identification of Novel Anthracycline Resistance Genes and Their Inhibitors
2021
Differentially expressed genes have been previously identified by us in multidrug-resistant tumor cells mainly resistant to doxorubicin. In the present study, we exemplarily focused on some of these genes to investigate their causative relationship with drug resistance. HMOX1, NEIL2, and PRKCA were overexpressed by lentiviral-plasmid-based transfection of HEK293 cells. An in silico drug repurposing approach was applied using virtual screening and molecular docking of FDA-approved drugs to identify inhibitors of these new drug-resistant genes. Overexpression of the selected genes conferred resistance to doxorubicin and daunorubicin but not to vincristine, docetaxel, and cisplatin, indicating…
Bilateral thoracoscopic thymectomy using a novel positioning system.
2013
Several techniques of bilateral video-assisted thoracoscopic extended thymectomy have been proposed, and each has its own proponents. We summarize our experience in 20 patients who underwent bilateral video-assisted thoracoscopic extended thymectomy, using a new patient positioning that amplifies the thoracoscopic view of the cardiophrenic regions which are often difficult to visualize with standard techniques. In all cases, en-bloc thymectomy with complete dissection of the mediastinal fatty tissue was achieved without sternal retractors or additional incisions.
Repurposing old drugs to fight multidrug resistant cancers.
2020
Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approa…
Application of GPS tracking for monitoring spatially unconstrained outdoor recreational activities in protected areas – A case study of ski touring i…
2018
Abstract New trends in leisure and outdoor recreation show an increased penetration of remote areas and the development of spatially unconstrained outdoor recreational activities. Here we present the application of GPS tracking to monitor a spatially unconstrained recreational activity, using ski touring in the Tatra National Park (TNP) as a study case. Particular focus of the study was the spatial and temporal behaviour of ski tourers with regard to existing management measures implemented in the Park, where recreation is limited to designated zones. The research is based upon empirical data (n = 427 ski touring GPS tracks). ArcGIS and statistics software SPSS were used for spatial and sta…
A Network Tomography Approach for Traffic Monitoring in Smart Cities
2018
Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable. This paper proposes an approach to traffic monitoring that does not rely on probe vehicles, nor requires vehicle localization through GPS. Conversely, it exploits just a limited number of cameras placed at road intersections to measure car end-to-end traveling times. We model the problem within the theoretical framework of network tomography, in order to infer the traveling times of all individual road segments in the road network. We specifically deal with the potential presence of noisy measurements, and t…
State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter
2008
An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity vector at the same time for a non conventional unmanned aircraft. The proposed observer uses few measurements, obtained by means of either conventional simple air data sensors or a low cost GPS. To cope with the low rate of the GPS with respect to the other sensors, the EKF algorithm has been modified to allow for a dual rate measurement model. State propagation is obtained by means of an accurate six degrees of freedom nonlinear model of the aircraft dynamics. To obtain joint estimation of state and disturbance, wind velocity components are included in the set of the state variables. Both stoc…